Tracksuit exists to help marketers prove their brand building is working. We give teams the data they need to make smarter decisions, convince stakeholders, defend budgets, and track their progress. The brand tracking industry is dominated by 100-page reports, static data and big price-tags. We&#x27;re doing things differently by being built for the modern marketer: always-on, accessible, and approachable. We&#x27;re now tracking more than 1,000 brands across 25 countries globally. With offices in Auckland, Sydney, London and New York City, we&#x27;re scaling fast with a brilliant team of collaborative and ambitious humans. Our culture is defined by &quot;high care, high performance&quot;. We strive to be the best and look after each other while we do it. We are committed to promoting a diverse and inclusive workplace - a place where we can each be ourselves and do the best work of our lives. At Tracksuit we consider a unique perspective, diverse experience and a growth mindset to be of greater value than ticking every box on an JD. If you think you have what it takes but don’t have the exact experience we’ve set out, please still get in touch and apply. We’d love to chat! We’re looking for an experienced Senior Data Scientist to amplify the value of our data and help us become the common language to measure, understand and communicate the value of brand building. Data is Tracksuit’s moat: it’s the core of our product and integral to everything we do. As a Senior Data Scientist, you’ll be joining our world-class data science team, working with engineers, product managers, and market research experts to design novel data products to lift the baseline for marketing measurement. We think this role is exciting because: <ul><li>Innovation is the expectation: You’ll run experiments, dive deep into analysis, and design new algorithms and models to re-imagine marketing measurement from first principles. You’ll work closely with product teams to build the world’s best brand tracking platform.</li></ul> <ul><li>Your work will directly shape the company’s trajectory: You’ll be applying your data skills to solve problems at the heart of our business model, directly shaping our ability to scale and launch new products with measurable impacts.</li></ul> <ul><li>You’ll join a high-performing team: Too much of data science work is done in silos. At Tracksuit, you’ll join a team of smart, kind, and driven peers. Daily collaboration will sharpen your craft and transform how you think, build, and operate.</li></ul> <ul><li>We don’t have a roadmap dictated to us: you’ll have high-level business goals and outcomes, but it’s up to you to define the problems and solutions.</li></ul> We’re looking for a Data Scientist with at least 4 years of experience that is: <ul><li>“Full Stack”: Deep understanding of statistics, including both frequentist and Bayesian approaches. Strong grasp of both machine learning and causal inference. Experience measuring and improving accuracy and reliability in complex systems. Fluent in SQL, scripting languages such as Python and R, and working with AI</li></ul> <ul><li>Experienced in research: Econometrics, biology, thermodynamics - you name it! We tackle problems like a research lab. You’ll thrive if you’ve had experience mastering a particular domain (we love Ph.D.s!) and contributing new peer-reviewed knowledge and methods to the world.</li></ul> <ul><li>Entrepreneurial and product-minded: You’re passionate about how your technical work drives business impact. Your expertise in data science enables you to design creative pragmatic solutions that strike unique trade-offs between statistics, engineering, and business outcomes. You love collaborating with customers, product managers, and designers because your work matters most when it generates real customer love.</li></ul> <ul><li>Kind: This is such a collaborative role that we ultimately want a great, collaborative and supportive team player. </li></ul>

Icehouse Ventures

Senior Data Scientist

Professional Development

Flexible Work

Wellness Program

Performance Bonus

Mental Health Workshops

Employee Mentoring Program

Extended Parental Leave

Competitive Salary

Referral Bonuses

Fully Paid Jury Service

Employee Discounts and Rewards

Ease Back to Work

Paid Volunteer Leave

Life Insurance

Gender Transition Support

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Unionisation

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Neurodiverse

INZ Accredited Employer

Women Leadership

Rainbow Tick

Your Role with UsAs a Software &amp; AI Engineer Specialist within Core Platforms, you will help shape the technology solutions that keep AIA running smoothly, securely and efficiently. Working closely with engineers, business stakeholders and technology partners, you will design, build, support and continuously improve applications that enable reliable business operations. This role combines modern software engineering with AI-assisted and agentic development practices, giving you the opportunity to drive innovation, automate processes and enhance delivery outcomes. You will contribute to a collaborative team environment where knowledge sharing, continuous learning and the responsible use of AI are valued, enabling both personal growth and broader team capability. <h4>Your Impact </h4><ul><li>Design and deliver scalable, secure and reliable technology solutions that support critical business operations across core platforms </li><li>Leverage AI-assisted engineering tools and agentic workflows to improve productivity, accelerate delivery and enhance code quality </li><li>Automate processes and develop reusable AI assets, including skills, prompts and agents, that increase team efficiency and capability </li><li>Resolve incidents, investigate root causes and implement improvements that strengthen system stability and performance </li><li>Champion secure engineering practices by embedding DevSecOps, automated testing and security controls throughout the development lifecycle </li><li>Collaborate with stakeholders, teams and vendors to deliver high-quality outcomes that align technology solutions with business needs </li></ul> <h4>Your Capabilities </h4><ul><li>You have experience designing, developing and supporting applications within enterprise technology environments </li><li>You bring practical expertise in scripting and automation using technologies such as PowerShell, Bash and Python, alongside modern software development practices </li><li>You have hands-on experience using AI-assisted development tools to design, build, test and document software while applying sound judgement to validate outputs and maintain quality and security </li><li>You have a strong understanding of AI-assisted and agentic development tools, including GitHub Copilot and agent mode, and how they enhance engineering productivity and delivery outcomes </li><li>You bring knowledge of agentic delivery practices and AI engineering concepts such as prompt engineering, context engineering, harness engineering and loop engineering </li><li>You have experience delivering work through an AI-augmented or agentic software development lifecycle, including independent review, governance and human approval checkpoints </li><li>You bring an understanding of responsible and secure AI practices, including protecting sensitive information, safeguarding credentials and identifying potential prompt-injection or security risks </li><li>You have experience building and sharing reusable AI assets, such as custom Copilot skills, prompts and agents, that elevate team capability and productivity </li><li>You bring strong problem-solving skills and communicate effectively with both technical and non-technical stakeholders </li><li>You have experience working within Agile, Waterfall or similar delivery environments and contribute positively to cross-functional teams </li><li>You may also have experience leading the delivery of outcomes through orchestration of AI agents, evolving from a traditional developer approach to coordinating and directing agent-based execution </li><li>It is great if you have exposure to CI&#x2F;CD, DevSecOps, application security tooling and modern security practices such as OWASP, SAST, DAST and software composition analysis tooling </li></ul> <h4>Your Life at AIA </h4>At AIA, your skills in technology, data, and analytics are more than technical expertise, they’re the foundation for creating Healthier, Longer, Better Lives. In return for your contribution, we offer a dynamic environment where innovation thrives, flexible ways of working, and opportunities to lead digital transformation at scale. You’ll have access to cutting-edge tools, continuous learning programs, and a collaborative culture that values curiosity and creativity. Together, we’ll design smarter solutions, unlock insights, and build digital experiences that make a real difference for millions of people across Asia-Pacific. <h4>DEIB </h4>Diversity, equity, and inclusion are central to who we are and how we work. We value people from all walks of life and welcome candidates of all backgrounds, identities, and lived experiences, including those with disabilities, additional mental health needs, chronic health conditions, or who are neurodiverse. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. And if there’s anything we can do to support you during the recruitment process, please contact us at nz.talentacquisition@aia.com. Recruitment Agencies : Our Talent team does not require any recruitment agency support.Interested Candidates : Apply using the ‘ Apply ’ button. No emailed applications accepted. For general enquiries only, contact:You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

AIA New Zealand

Software & AI Engineer Specialist

Founded in New Zealand in 2017, Timescapes is a visual progress tracking solution for complex construction projects. Our mission is to simplify construction through shared visibility. Customers love Timescapes because it helps them stay on schedule, validate construction claims and communicate progress more effectively. We’re a rapidly growing company, and are used by some of the largest construction firms across Australia, Canada, New Zealand and the United States. The Role We&#x27;re hiring a hands-on builder to lead AI and data across Timescapes: someone who finds the highest-leverage problems in the business and solves them with agentic AI, automation and better data. You will work across every team at Timescapes, understand how work actually flows, and then build and streamline the workflows. Some of that is agentic AI but plenty of the time the right answer is a simple automation, fixing the process underneath, or removing a step nobody needed. This is an individual contributor role. You will scope the work, build it yourself where that is fastest, and bring in vendors or contractors where that makes more sense. Location: Auckland, New Zealand. Hybrid, in-office. Reporting to: Co-founder and Chief Technology Officer, moving to the Chief Operating Officer in time. Scope: Internal-facing, you are improving how Timescapes runs. AI inside our product is owned by a separate team, and building customer-facing AI features is not this job. Our stack: HubSpot, Odoo, Chargebee, Mixpanel, n8n, Superset, MotherDuck and our own platform, plus the usual assortment of bolt-ons. What You&#x27;ll Be Doing Finding and Framing the Work <ul><li>Finding the work: Partner with Sales, Marketing, Customer Success, Service Delivery, Field Service, Finance and Product to find where the real friction is, and focus on the problems with genuine payoff. The best opportunities may not necessarily arrive as requests.</li><li>New ways of operating: Track what is newly possible in AI and automation, evaluate the tools worth our attention, and work out what they change about how we run. Some of the biggest wins will be doing something differently, not doing the current thing faster.</li><li>Process before automation: Map how work actually happens to deliver value to our customers, including the undocumented parts, and deeply understand the value flow before automating it.</li></ul> Building and Shipping <ul><li>Build and deploy: Agentic AI workflows, automations and internal tools, particularly ones spanning multiple systems or functions. Measure outcomes, iterate, retire what is not effective.</li><li>Keeping it running: Take ongoing ownership of the systems and automations you build, keeping them reliable and maintainable rather than handing them off and moving on.</li><li>Build versus buy: Manage vendors and contractors where buying beats building, and own those relationships end to end.</li><li>Manage Costs: Keep running costs under control and visible to the teams that use each solution, so they can make an informed call on whether the costs are justified.</li></ul> Systems and Data <ul><li>The stack we have: HubSpot, Odoo, Chargebee, MotherDuck and our own platform. Deep in their APIs and across how they connect. Work out what we are running, what it costs and what should be optimised.</li><li>Entities and trusted numbers: Define what a project is, what a customer is, which system is the source of truth, and keep company reporting trustworthy on top of it.</li></ul> Capability and Guardrails <ul><li>Enablement: Lead by example as the most active AI practitioner in the company. Run sessions, write practical playbooks, upskill teams so the capability spreads beyond you.</li><li>Guardrails and cost: Standards on privacy, security and appropriate use, transparency about where AI is involved, and visible running costs.</li></ul> What This Role Does Not Own <ul><li>You are not intended to be the administrator for our business systems. For example, HubSpot configuration still sits with RevOps, Odoo configuration sits with Operations and their implementation partner. Product analytics sits with Product. You build on top of these systems and ensure information and automation flows between them.</li><li>You will have a strong voice on what we adopt, what we retire and how things connect, plus sign-off on new tools that touch company data.</li></ul> Success in Your First Twelve Months <ul><li>Manual processes across functions are replaced with flows that run themselves, in daily use rather than pilots.</li><li>Our teams spend their time with customers and on site, not chasing, checking and moving information from one place to another.</li><li>The processes themselves are better, not just faster. We fixed them on the way through and the obvious friction points are gone.</li><li>Teams are building and improving flows themselves because you taught them how.</li></ul>.Experience &amp; Qualifications <ul><li>5+ years across automation, data, analytics engineering or related roles, with recent and substantial hands-on AI work</li><li>A portfolio of things you have built. We will ask you to walk us through them</li><li>Experience in a fast-moving SaaS or startup environment where you owned outcomes end to end</li><li>Experience scoping and managing external vendors and contractors</li><li>Construction or hardware industry experience is a bonus, not a requirement</li><li>Must have the legal right to live and work in New Zealand</li></ul> What You&#x27;ll Bring You&#x27;ve done this work before and can show it. We care far more about what you&#x27;ve shipped than the exact titles you&#x27;ve held. <ul><li>Hands-on AI experience: Current, practical work with AI automation tools. Workflow builders, automation platforms, agent frameworks, and the judgement to know when a simple script beats an agent.</li><li>Strong technical fundamentals: SQL, coding, APIs and scripting, and making systems that were not designed to talk to each other work together. Enough data modelling to define entities properly and define metrics alongside the people who own them.</li><li>A track record of changing how a function works: You go in, understand how the work really happens, and change it.</li><li>Comfort with operational and field teams: Scheduling, dispatch, install workflows and service tickets, not just sales and finance.</li><li>Familiarity with commercial systems: And with the bolt-on sprawl that accumulates around them.</li><li>A practical point of view on responsible AI: Applied, not theoretical.</li><li>Comfort with ambiguity: You hold a company-wide view while executing in the detail, and when there is no playbook, you write it.</li><li>An enabler&#x27;s instinct: You do not hoard knowledge, you multiply it, including with people who are sceptical or overwhelmed by AI.</li><li>Strong communication: In writing and in person, comfortable with everyone from engineers to finance to sales.</li></ul> We&#x27;re at an exciting growth stage where your decisions will directly impact our trajectory as we scale globally. We offer: Competitive compensation package Enhanced Parental Leave offering EAP support Our Values Customer value comes first Our ability to succeed as a business is directly connected to the value we deliver to customers. To create value for them, we need to first understand them really well. Act with intent Great outcomes aren&#x27;t achieved by accident, but rather through thoughtful and deliberate action. We think critically, and everything that we do, we do for a reason. 1% better every day While reliability is important, it can also make us complacent. Relentless and rapid improvement is essential if we want to earn the right to keep growing our business. What seems like a small improvement each day compounds over time. Simple, but not easy We always strive to achieve simplicity, whether in the solutions we create for customers, the processes we build, or our communications within the company. However, we don&#x27;t shy away from complexity, and we accept that achieving simplicity requires intense effort. Life at Timescapes Our team tells us what they value most: the people, the product, the trust, and the opportunity to do work that actually matters. We have built that culture deliberately and we look for it in every hire we make. If you are looking for a place where your work ships into the real world, where the team is small enough that your contributions matter, and where the mission is clear, we would love to hear from you.

Senior Automation & AI Engineer

Employee Stock Purchase Plan

Relocation Support

Company Supplied Technology

Counselling Services

Free Parking

Work from Home

Work-Life Balance Support

Health Insurance

Company Discounts

Uniform Provided

Vehicle/Fuel Card

Subsidised Health Insurance

Work Café

Company Car

Computer Assistance

Visa Sponsorship

Indigenous Rights

Senior Data AI and ML Engineer- Wiq <ul><li>Design, deploy, and manage multi-agent ecosystems, </li><li>Ponsonaby and Favona locations with hybrid working (3 days in the office) </li><li>Turn business challenges into trusted data solutions </li></ul> <h4>We are Woolworths Group </h4>We are Woolworths Group. 200,000+ bright minds, passionate hearts and unique perspectives connected by a shared Purpose to create better experiences together for a better tomorrow.’ It’s that Purpose that fuels our ambition to explore new ideas, make brave commitments and innovate better ways to meet the food and everyday needs of more than 24 million customers every week. If you’re excited to turn today’s blue sky thinking into a better tomorrow for future generations, you’ll find yourself supported and enriched in a dynamic, inclusive and empowering workplace that reflects the diverse communities we serve. With a culture of genuine care, a flexible approach to work and opportunities across the group to grow your career and make a meaningful impact, the possibilities for what we can achieve together are endless. We strive to create better experiences together for a better tomorrow for our customers and team,  bringing the best of Woolworths Group and Quantium together to make data driven decisions. By partnering with Quantium, a world-class data science and advanced analytics business we’re excited about the future as we unlock the power of AI and Insights to reimagine retail. Through this partnership, the wiq team harnesses the best of Woolworths Group and Quantium data science and analytics talent to reimagine retail by solving the most complex problems using AI and analytics. As a team, we leverage Agile ways of working to help our team develop their skills while also making sure our team is focusing on solving the most complex problems for both our customers and team. The purpose of the wiqNZ team is to unlock the power of data to imagine retail, which contributes to making Kiwis’ lives a little better every day. We work closely with all WWNZ business units, as well as with the broader wiq team. <h4>What you’ll do: </h4>The wiqNZ team unlocks the power of data to reimagine retail and make Kiwis’ lives better every day. As a Senior Data, AI, and ML Engineer, you will architect and deploy advanced models using agentic workflows, autonomous coding agents, and robust AI governance frameworks to scale our data capabilities. Beyond model deployment, you will design clean, semantic data architectures and cloud warehousing environments that enable AI agents to build, test, and govern pipelines autonomously. Working closely with cross functional teams, you will turn business challenges into trusted data solutions, establish core engineering patterns, and mentor junior team members. <ul><li>Design, deploy, and manage multi-agent ecosystems, autonomous coding agents, and generative AI capabilities like retrieval-augmented generation and vector embeddings. </li><li>Build clean, structured data architectures using dimensional modeling and cloud warehousing to ensure schemas are easily interpretable by LLMs and AI agents. </li><li>Deploy automated agentic testing frameworks to manage non-deterministic model outputs, validate data quality, and enforce enterprise performance standards. </li><li>Establish comprehensive AI governance and observability structures to monitor for data drift, concept drift, algorithmic bias, and hallucinations. </li><li>Implement strict security guardrails and responsible AI practices to mitigate risks such as prompt injection and data exfiltration, ensuring protection of PII and full auditability for all AI-assisted workflows. </li><li>Track and optimize cloud compute expenditures across model token usage, efficient BigQuery processing, and cost-effective Vertex AI endpoint scaling. </li><li>Translate complex business requirements into scalable technical solutions through direct collaboration with cross-functional teams and stakeholders. </li><li>Promote modern engineering standards, mentor junior team members, and conduct regular peer reviews to elevate technical capabilities across the team. </li></ul> <h4>What you’ll bring: </h4>You bring a strong experimental and product led mindset, with a proven ability to manage stakeholder expectations effectively. You thrive in fast paced environments, comfortably driving rapid, iterative prototyping cycles to turn early proof of concept ideas into robust production solutions. <ul><li>Hands-on experience with GenAI production frameworks (e.g., Vector Databases, LangChain, ADK) and agentic coding tools (e.g., Claude Code, Github Copilot). </li><li>Proven ability to build and maintain end-to-end data pipelines using modern cloud ecosystems, specifically BigQuery, Vertex AI, DBT and Apache Airflow. </li><li>Practical knowledge of cloud platforms, microservices, and distributed computing, with Google Cloud Platform and Kubernetes preferred. </li><li>Advanced skills in Python and modern development tools, alongside hands-on experience using agentic coding assistants. </li><li>Strong background in statistical modeling, machine learning frameworks, and robust MLOps practices for scalable deployment. </li><li>Deep understanding of data warehousing methodologies (eg Kimball). </li><li>Solid software engineering foundation utilizing Git, continuous integration, continuous delivery, and disciplined testing practices. </li><li>Track record of working in technical project teams and delivering complex, multi-stakeholder initiatives in agile, cross-functional environments. </li><li>Relevant cloud certifications, such as Google Cloud Professional Data Engineer or Cloud Architect, are highly advantageous. </li><li>Full stack development experience is an advantage. </li></ul> <h4>What you’ll experience: </h4><ul><li>A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network. </li><li>Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work. </li><li>12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment. </li><li>A range of programs to help you prioritise and manage your wellbeing, including 24&#x2F;7 access to the Sonder app. A progressive and competitive leave policy that gives you more space for what matters to you. </li></ul> <h4>Everyone belongs at Woolworths Group </h4>As one of the largest employers in Australia and New Zealand, we aim to create a truly inclusive workplace where everyone feels that they belong, can be their best selves, and reach their full potential. Diversity, equity, inclusion, and belonging are key to realising our purpose of better together for a better tomorrow. We recognise the value our team’s diversity brings to our business, customers, and communities and that teams with diverse experiences and backgrounds enrich our group and are better able to innovate and solve problems. Woolworths Group is an inclusive, team-first company and we value all skills and experiences. If you meet some, but not all of the requirements, we encourage you to submit your application.

Woolworths New Zealand

Senior Data/AI/ML Engineer

Pet Friendly

Gym Membership

Own the data platform behind a global business, shape how ZURU uses data and AI, and build systems that directly drive real-world decisions. <h4>About ZURU</h4> ZURU is on a mission to disrupt across industries, challenge the status quo and catalyst change through radical innovation and automation advances. This is in play in different pillars of the company: ZURU Toys are re-imagining what it means to play; ZURU Tech is shaping a better future by leading the next building revolution; ZURU Edge is pioneering new generation FMCG brands to better serve modern consumers. Founded in 2003 by EY Entrepreneur of the Year and World Entrepreneur Hall of Fame brothers Nick and Mat Mowbray, ZURU has quickly grown to a team of over 5000 direct and indirect members across more than 30 international locations. One of the largest toy companies in the world, globally recognised and award-winning brands include Bunch O Balloons, Mini Brands, XSHOT, Rainbocorns and Smashers. Our global FMCG brands include MONDAY Haircare, Rascals, NOOD, BONKERS, Gumi Yum Surprise, and more! For more information, visit www.zuru.com . <h4>YOUR ROLE </h4> As a Data &amp; AI Engineer, you&#x27;ll own data pipelines that power real business decisions across ZURU&#x27;s global operations. Working with Databricks, dbt, Fivetran and AWS, you&#x27;ll design and run production systems end to end, from ingestion through to the models the business actually reports on. You&#x27;ll take full ownership of your domains and help shape how the platform evolves.This role sits at the centre of data-driven decision-making at ZURU. You&#x27;ll build reliable, well-modelled data products, drive up data quality, and make the platform easier and safer for everyone to build on. Your work determines whether commercial, marketing and logistics teams can trust and act on their numbers, and you&#x27;ll have a direct hand in the direction of ZURU&#x27;s data platform and AI capability. <h4>CORE RESPONSIBILITIES </h4> <ul><li>Design, build and own production data pipelines ingesting from SAP, retail POS systems, logistics platforms and marketing channels </li><li>Lead migrations of legacy pipelines into modern, scalable architectures, including the design decisions and cutover plan </li><li>Model data for analytics and AI use cases, setting the standards others follow </li><li>Build observability, testing and alerting into pipelines so issues surface before the business finds them </li><li>Improve platform infrastructure and tooling, and reduce operational toil through automation </li><li>Partner directly with commercial, marketing and logistics stakeholders to turn ambiguous asks into well-scoped datasets </li><li>Review others&#x27; work and mentor junior engineers on SQL, Python and pipeline design </li></ul>Contribute to governance, documentation and platform standards, and to AI-assisted workflows across the team <ul><li> </li></ul><h4>SKILLS &amp; EXPERIENCE REQUIRED </h4> <ul><li>3+ years of experience building and running data pipelines in production </li><li>Advanced SQL, including performance tuning on large datasets </li><li>Strong Python for pipelines, automation and tooling, with a working knowledge of software engineering practice (version control, testing, code review) </li><li>Hands-on experience with dbt and a cloud data platform (Databricks, Snowflake, BigQuery or Redshift) </li><li>Proven experience with orchestration, and a track record of debugging and hardening pipelines that fail in production </li><li>Comfortable owning delivery end to end and working through ambiguity without close direction </li></ul>Clear communicator who documents decisions and can explain trade-offs to non-technical stakeholders <ul><li> </li></ul><h4>Bonus </h4> <ul><li>Spark, streaming, or large-scale distributed processing </li><li>AWS (or equivalent) and infrastructure-as-code such as Terraform </li><li>CI&#x2F;CD for data, data contracts, or data quality frameworks </li><li>Exposure to LLM or AI-driven data workflows </li><li>Experience mentoring engineers or leading a workstream </li></ul> <h5>LIFE@ZURU </h5> ZURU is on a quest to reimagine tomorrow. Founded in 2003, ZURU Group has rapidly grown and now spans three core divisions—ZURU Toys, ZURU Edge (consumer goods) and ZURU Tech (construction).At ZURU, we have cultivated a high-performing culture that encourages excellence. Our team works towards ambitious goals, learning, performing, and improving together, all while having fun. We empower talented individuals to do their best work every day.At ZURU, you get out what you put in. You are responsible for driving your own career and we provide the platform to achieve it. As ZURU is on such a fast growth trajectory, there are opportunities here that you won’t find anywhere else.Get to know us a little better by checking out @lifeatzuru on Instagram or www.zuru.com .WHAT WE OFFER<ul><li>🌱 Culture for Growth </li><li>🧘 Health Benefits </li><li>🌎 Global Opportunities </li><li>💡 Surrounded by an A Player Team </li><li>💰 Competitive Remuneration </li><li>🍓 Lots of fresh fruit, coffee, pals fridge and more (optional) </li></ul>ZURU – Reimagining tomorrow 🚀

ZURU Tech

Data & AI Engineer

As a Junior Data and AI Engineer, you will build and maintain data pipelines that power real business decisions across ZURU’s global operations. Working with modern tools like Databricks, dbt, Fivetran, and AWS, you’ll gain end-to-end exposure to data systems while contributing to scalable, production-grade infrastructure. This is a hands-on role with real ownership from day one.This role plays a key part in enabling data-driven decision-making across ZURU’s global business. By building reliable pipelines, improving data quality, and supporting platform scalability, you directly impact commercial, marketing, and logistics performance. Your work ensures teams can trust and act on data, while contributing to the long-term evolution of ZURU’s data platform and AI capabilities. Roles &amp; Responsibilities: <ul><li>Build and maintain data pipelines ingesting data from SAP, retail POS systems, logistics platforms, and marketing channels </li><li>Migrate legacy pipelines into scalable, maintainable modern data architectures </li><li>Monitor and improve data quality, identifying issues before they impact the business </li><li>Support and enhance data platform infrastructure and tooling </li><li>Collaborate with cross-functional teams to deliver reliable datasets and insights </li><li>Contribute to end-to-end data workflows including ingestion, transformation, and governance </li><li>Document processes, pipelines, and learnings clearly </li><li>Continuously improve workflows using automation and AI tools </li></ul> What You Bring To ZURU Skills &amp; Experience: <ul><li>Strong SQL skills (joins, window functions, CTEs) </li><li>Experience using Python for scripts, pipelines, or automation </li><li>Understanding of data pipelines and common failure points </li><li>Ability to learn quickly, solve problems, and work with ambiguity </li><li>Strong communication skills, including asking questions and documenting solutions </li></ul>Bonus: <ul><li>Experience with dbt, Spark, or cloud data platforms (Databricks, Snowflake, BigQuery, Redshift) </li><li>Exposure to AWS or similar cloud environments </li><li>End-to-end data project experience (academic, personal, or professional) </li></ul>Think you’ve got what it takes? Apply now and tell us your story. LIFE@ZURU ZURU is on a quest to reimagine tomorrow. Founded in 2003, ZURU Group spans three core divisions—ZURU Toys, ZURU Edge, and ZURU Tech.At ZURU, we foster a high-performing culture that encourages growth, ownership, and continuous improvement. You are responsible for driving your career, and we provide the platform to accelerate it.Learn more at www.zuru.com WHAT WE OFFER <ul><li>🌱 Culture for Growth </li><li>🌎 Global Opportunities </li><li>💡 Surrounded by an A Player Team </li></ul>ZURU – Reimagining tomorrow 🚀 #LI-AJ1

Junior Data & AI Engineer

Fruit Box

Travel Reimbursement

Unlimited Annual Leave

Free Food

Free Drinks

Dog Friendly

Open Door Policy

<h4>About Halter</h4> At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It&#x27;s changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund, Bessemer Venture Partners, BOND, DCVC, Blackbird, Promus Ventures, Rocket Lab’s Peter Beck and Icehouse ventures.To find out more, visit our LinkedIn &amp; Instagram. <h4>About the Role.</h4> Halter’s Predictive Systems group is dedicated to the development of advanced models to provider farmers with the most accurate insight to optimise their operations. To provide farmers with the highest quality insights, we’re building upon the bleeding edge of scientific advancements with unmatched access to rich, novel data to develop a cutting edge agricultural modelling system.You’ll play a pivotal role in one of the machine learning teams within the group, where you could be building advanced models of pasture growth and land properties that power intelligent, modelling animal state, health and activity, and much more. Applications could range from remote sensing of pasture biomass, identification of animal heat events, to grazing interval simulation for advanced recommendations.You will be owning end to end development of machine learning pipelines, advanced contemporary modelling, to deployment and monitoring. You will work with great team-mates in engineering, product and design to achieve outsized results. The impact of our work is profound, and we take that responsibility seriously. As a member of the group, you&#x27;ll share our passion for technology and our commitment to optimizing the management of pastural grazing systems. You will be responsible for:<ul><li>🌱Modeling, from biological processes to farm operations: You will drive development of predictive systems to solve real-world challenges faced by farmers.</li><li>📚Research, from technical to agriculture: you will be required to conduct extensive literature reviews, and stay ahead of the curve with respect to both machine-learning systems, and pasture science.</li><li>🛠️Model development: design, dataset construction, training and optimization: Rarely do we utilize a model off the shelf. You will own the architectural design, and all phases of model development.</li><li>👀Supporting your work in production: Halter engineers demonstrate a high level of ownership. We support what we build, and we learn from our systems behavior in the field.</li><li>🧠Proactive innovation: As a member of the data discipline it is expected that you will exercise a high degree of creativity to proactively deliver innovative ideas.</li></ul> <h4>Who are we looking for.</h4> <ul><li>You are a high-output generalist: You will be required to work with autonomy across infrastructure, databases, simulation, and ML development. You will be restless with respect to advancing your own impact across the stack, leveraging AI companion tools and agents.</li><li>You are a machine learning expert: You will be joining a highly capable team of technologists with deep experience in machine learning and complex systems. You will be required to provide extra strength in machine-learning theory, and its application to maximizing pasture efficiency.</li><li>You have experience delivering highly complex predictive systems at the bleeding edge of research: Experience translating academic research into practical applications that add value to the world. You may be required to work on a range of problem-sets, from multi modal time-series modelling, to simulation systems.You are deeply curious and willing to become an expert in pasture-based farming.</li><li>Our farmers expect us to know farming as well as they do, understand why they do what they do, and identify where they can do it better. Curiosity beyond technology and into the agricultural domain will be a strong motivation for you.</li><li>You are a product-minded, strategic thinker: Halter is in the enviable position of possessing an immense depth of farm-data. You will be adept at mapping opportunities across our data-lake to systems that add positive value to farmers and ranchers.</li><li>You embrace uncertainty and ambiguity: Uncertainty is intrinsic in the ambition of our team and company. We take big, calculated strides, and we embrace the challenge to do so.You are a highly effective collaborator and incredible teammate.</li></ul> <h4>More concretely:</h4> <ul><li>You have a deep academic and&#x2F;or professional background applying machine learning to solve real-world problems (e.g. a research oriented postgraduate degree in mathematics or computer science, with relevance to modelling with deep neural networks)</li><li>Demonstrated experience designing, deploying, and monitoring machine learning systems to productionStrong causal reasoning and an ability to design models that reflect real-world dynamicsStrong data intuition and ability to work with noisy, high volume, high-dimensional datasets</li><li>Fluency in Python and experience contributing to or working on complex, collaborative codebasesProficiency in contemporary AI companions and tooling for software and engineering productivity (e.g., Copilot, ChatGPT, Cursor, Claude-code)</li><li>Excellent communication skills and a collaborative working style across disciplines</li><li>Some experience in advanced ML architectures (Transformers or SSM), agent-based systems or recommendation systems is a plus, but not required.</li></ul> <h4>Our Office First Approach.</h4> There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. <h3>Join our team</h3> Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!Please also feel free to check out the careers page for more information on working at Halter and don&#x27;t forget to follow us on LinkedIn &amp; Instagram. <h3>Why our team loves working at Halter:</h3> <ul><li>Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.</li><li>Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You&#x27;ll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.</li><li>You&#x27;ll grow here. Autonomy, mastery, and learning define how we work. You&#x27;ll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our $1,000 personal growth fund.</li><li>This isn&#x27;t easy, and we love that it&#x27;s hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: &quot;Joining Halter is a bit like strapping yourself to a rocket ship, but it&#x27;s an epic journey to be a part of!&quot;</li></ul>

Halter

Lead Machine Learning Engineer

Senior Machine Learning Engineer

Tracksuit exists to help marketers prove their brand building is working. We give teams the data they need to make smarter decisions, convince stakeholders, defend budgets, and track their progress. The brand tracking industry is dominated by 100-page reports, static data and big price-tags. We&#x27;re doing things differently by being built for the modern marketer: always-on, accessible, and approachable. We&#x27;re now tracking more than 1,000 brands across 25 countries globally. With offices in Auckland, Sydney, London and New York City, we&#x27;re scaling fast with a brilliant team of collaborative and ambitious humans. Our culture is defined by &quot;high care, high performance&quot;. We strive to be the best and look after each other while we do it. At Tracksuit, we’re building the world’s most loved brand‑tracking platform - simple on the surface, scientifically serious underneath. As we scale globally, the stakes get higher: more brands, more markets, more scrutiny, more ambition. To meet that moment, we’re expanding our Research Governance function and looking for a Principal Measurement Scientist to become the intellectual engine of our measurement system. This is not a typical “research role”. It’s a Principal Investigator position in the truest academic sense; defining the scientific agenda, designing the programme, and producing the evidence base that underpins how Tracksuit measures brand health. It’s also hands-on. You’ll be in the data yourself: designing the experiments, running the analysis, and standing behind the numbers. If you’re an academically trained measurement scientist who loves hard questions, rigorous validation, and the psychology of how humans respond to surveys at scale, this is your playground. Why this role exists Tracksuit’s methodology has grown fast and served us well - but now we’re operating in more markets, under greater partner scrutiny, and with increasingly ambitious product goals. To keep pace, our measurement foundations must be academically defensible, not just commercially convenient. Your mission: Review and rationalising the rigour of our current tracking, then build the forward looking, multi‑year measurement science programme that answers the hardest questions about how brand tracking should work. You’ll define the investigations, design the tests, run the analysis, partner with Survey Ops and Data Science, interpret the findings, and build the scientific backbone that Marketing Science, Product, and Governance rely on. You’re not handed a roadmap. You write it. What you&#x27;ll do <ul><li>Create and lead Tracksuit’s measurement science programme</li></ul>Define the questions, methods, evidentiary standards, and sequencing across a multi‑year horizon. <ul><li>Audit and challenge existing methodology</li></ul>Assess every core methodological choice with scientific independence - confirm, refine, or flag for investigation. <ul><li>Design, run, and analyse academic-level validation studies</li></ul>Partner with Survey Operations on design and execution. Own the analysis yourself, power calculations, experimental design, statistical validation, working with Data Science where scale or infrastructure demands it. <ul><li>Own the science of respondent psychology</li></ul>Interrogate respondent level data to investigate attention, cognitive load, satisficing, recognition effects, order effects, and panel fatigue; and build evidence‑based mitigation strategies. <ul><li>Define and maintain Tracksuit’s metric and methodology frameworks</li></ul>Conceptual definitions, incidence rules, measurement standards, and survey design constraints - all documented with academic rigour. <ul><li>Build the Methodology Knowledge Base</li></ul>Create Tracksuit’s scientific record: rationale, standards, validation evidence, and decisions <ul><li>Assess external data sources with scientific independence</li></ul>Evaluate synthetic modelling inputs and multi‑source data for scientific credibility. <ul><li>Engage with the academic community</li></ul>Build a scientific advisory network; maintain relationships with external academics; represent Tracksuit at conferences where relevant What you&#x27;ll bring <ul><li>Deep academic training - ideally PhD&#x2F;Master’s in psychology, statistics, behavioural science, or similar.</li><li>10+ years in quantitative research or measurement science, ideally in a rigorous empirical environment (Ehrenberg‑Bass or equivalent strongly preferred).</li><li>Expert in survey methodology, measurement theory, psychometrics, and respondent psychology.</li><li>Comfortable challenging assumptions and defending evidence‑based positions.</li><li>Able to produce scientific documentation that could withstand peer review.</li><li>Collaborative across Survey Ops, Data Science, Product, and Marketing Science - without compromising scientific standards.</li><li>Commercially aware enough to understand constraints, but scientifically independent enough not to bend to them.</li><li>Hands-on statistical analysis (R, Python etc) for study design, validation analysis, and power calculations.</li><li>Strong experimental design and measurement validation skills, including power analysis and test design.</li><li>Able to get to data directly: SQL, Snowflake</li><li>Practical proficiency with survey data collection and fieldwork platforms.</li></ul> Ready to build the scientific backbone of Tracksuit? We’d love to meet you.

Principal Measurement Scientist

Care and Appreciation

Physical Health Workshops

Birthdays Off

Sustainability Policy

ABOUT THE COMPANY:A leading Media Agency with an enviable client list. They offer an exceptional working environment and the chance to work with some of the best in the business. ABOUT THE ROLE:As a Paid Search&#x2F;Discovery Director you will play a key role in leading and elevating best-in-class Search solutions, while helping evolve this agency&#x27;s approach; as the way people discover, evaluate and choose brands continues to change. Working closely with the leadership team, this role connects Paid Search with the wider Discovery landscape, including SEO, GEO&#x2F;AEO, AI Search, Social Search and emerging platforms and experiences. This role brings together targeting, data, measurement, testing and customer experience to help clients navigate an increasingly connected Search and Discovery journey. RESPONSIBILITIES:You will support the leadership and evolution of this company’s Discovery product offering; championing its value across the agency and with their clients. You’ll assist to drive the adoption of AI-led Search approaches, while helping shape how they belnd Paid Search and SEO into a cohesive and modern Search strategy. In addition, you will contribute to their thought leadership within Discovery, and support new business growth through product storytelling, case studies and pitching. ABOUT YOU:<ul><li>We are seeking an experienced and motivated leader, able to build trusted client relationships and consistently deliver high-quality investment outcomes. In addition you will need:</li><li>Advanced Goole Ads + Microsoft Ads expertise (social search platform experience is desirable)</li><li>A strong understanding of SEO &amp; GEO concepts</li><li>Excellent reporting and analytics skills (GA4 basics)</li><li>Strong performance analysis and insight storytelling (clear recommendations, not just reporting)</li><li>Experience running structured test-and-learn&#x2F;experimentation frameworks</li></ul> WHAT’S IN IT FOR YOU?<ul><li>Join a respected agency that works with some of NZ’s best brands</li><li>Work on groundbreaking campaigns and utilise the latest technologies</li><li>Work with passionate and committed specialists who love what they do</li><li>Work life balance, awesome office space and competitive salary package</li><li> Don&#x27;t miss out on this exciting opportunity - apply online today!</li></ul>

BrightSpark Recruitment 

Paid Search/Discovery Director

ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity’s reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. While other companies talk about it, we do it! NEUTRON Rocket Lab’s Neutron team is responsible for bringing our new large rocket Neutron and its launch and test sites to life. From designing and testing Neutron’s structures and components, to firing up its new Archimedes engines, to setting up Neutron’s launch pads and test sites across the United States, joining the Neutron team is your opportunity to help launch a new large rocket for the very first time. SENIOR DYNAMICS ENGINEER Rocket Lab seeks a Senior Dynamics Engineer to build Neutron: Rocket Lab’s medium lift, reusable launch vehicle. As a Senior Dynamics Engineer , you will contribute to the analysis, design validation, and future improvements of the Neutron launch vehicle. Day to day, you will be expected to predict and define loads and environments for different vehicle components, support testing and qualification campaigns, and specify vehicle instrumentation (accelerometers, strain gauges, thermocouples, etc..). You will also perform detailed simulations, and establish technical methodologies used across the engineering team. Successful candidates in this role will thrive in ambiguity, and are excited to work in a small, high performing team focused on continued learning and growth. This position is ideal for an experienced engineer keen to support a complex project from conceptual design through to integration and launch. This role is based in Auckland, New Zealand. WHAT YOU&#x27;LL GET TO DO: <ul><li>Perform prediction of launch vehicle vibration environments based on finite element analysis and analytical methods </li><li>Contribute the test plan definition, support test activities, and post process test results for dynamic testing (random vibration, acoustics, shock) </li><li>Define suitable sensors (type and location) to monitor the in-flight environments and post process data to verify correlation with numerical predictions</li><li>Working closely with avionics, mechanical, fluids, and propulsion team members to determine suitable mounting strategies for vehicle and ground system components</li><li>Collect documentation of test environments and qualification status for vehicle components </li></ul> YOU&#x27;LL BRING THESE QUALIFICATIONS: <ul><li>A degree in Mechanical or Aerospace Engineering or a similar field </li><li>5 + years industry experience, ideally from the Aerospace, Automotive, or Marine industries </li><li>A keen physics-based approach to problem solving </li><li>Demonstrated Experience with sensor selection and data post-processing&#x2F;interpretation (accelerometers, strain gauges, thermocouples etc.)</li><li>Demonstrated Experience with static and dynamic structural test methods, including: <ul><li>Modal Characterization</li><li>Acoustics</li><li>Random vibration</li><li>Shock</li></ul></li><li>Experience with engineering programming and data analysis, especially in Python</li><li>Experience with finite element modelling and analysis with one or more industry standard structural FEA packages: Femap&#x2F;NX Nastran, Simcenter&#x2F;NX Nastran, Abaqus, Optistruct&#x2F;Hyperworks</li><li>Comfort executing to changing deadlines within a high-pressure environment </li></ul> THESE QUALIFICATIONS WOULD BE NICE TO HAVE: <ul><li>Expertise in vibroacoustic modelling </li><li>Familiarity with manufacturing processes, including conventional machining, and additive manufacturing </li><li>Experience using NX CAD and Teamcenter packages</li></ul> If the above sounds like you apply now! WHAT TO EXPECT We’re on a mission to unlock the potential of space to improve life on Earth, but that’s not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other’s backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and&#x2F;or the U.S. Department of Commerce, as applicable. Learn more about ITAR here . Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application&#x2F;interview process for a job in the United States should contact Giulia Johnson at g.biow@rocketlabusa.com. This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply&#x2F;interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant.  These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States&#x27; International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality.  For more information on these Regulations, click here ITAR Regulations.

Rocket Lab

Senior Dynamics Engineer

Funeral Cover

Wage Equality

<ul><li>Lead Auckland Council’s transition to a modern data platform </li><li>Shape the data engineering strategy, roadmap and technical direction </li><li>Build and inspire a high-performing team of data engineers </li></ul> He angitūtanga: The opportunity As Senior Manager – Data Engineering, you will lead Auckland Council’s Data Engineering team and shape the strategy, roadmap and transition from legacy systems to our Modern Data Platform. This is an exciting opportunity to influence the future of data engineering across a large and complex organisation, creating scalable, reliable and sustainable data solutions that enable trusted insights, automation and innovation. In this role, you will:<ul><li>Lead the data engineering strategy and roadmap, overseeing the development of foundational data assets and pipelines across Snowflake, dbt, Fivetran and Power BI.</li><li>Drive the transition from legacy platforms, including the decommissioning of existing BusinessObjects and Power BI pipelines, integrations and the WhereScape RED Enterprise Data Warehouse.</li><li>Establish the technologies, methodologies and quality controls used for data ingestion, integration and transformation, ensuring solutions are accurate, reliable and aligned with data governance standards.</li><li>Lead, coach and develop a high-performing team of data engineers, fostering technical excellence, innovation, accountability and continuous improvement.</li><li>Partner with business stakeholders, technology teams and external vendors to prioritise delivery, manage expectations and identify opportunities across analytics, automation and machine learning.</li></ul> Click this link to access the Position Description He kōrero mōu: About you We’re looking for an experienced strategic and technical leader with a strong record of delivering data engineering transformation within large-scale, data-mature environments. You’ll bring broad expertise across modern data technologies such as Snowflake, Databricks, dbt and Fivetran, alongside visualisation platforms including Power BI or Tableau. Hands-on proficiency in SQL and a programming language such as Python will be important, along with experience building reliable production pipelines, designing ETL and ELT patterns, applying dimensional or medallion data modelling, and embedding version control and CI&#x2F;CD practices. An inspiring and adaptable people leader, you’ll be comfortable navigating ambiguity, motivating teams and leading others confidently through change. You’ll champion platform reliability, observability, data governance, quality, compliance, performance and cost optimisation while maintaining a clear view of the wider strategic picture. Your Agile mindset, sound commercial awareness and strong communication, influencing and negotiation skills will enable you to build trusted relationships, manage competing priorities and improve service delivery across the organisation. To be successful in this role, you will have:<ul><li>At least 10 years’ experience in data and analytics roles within organisations with a high level of data maturity, including five or more years in senior or technical leadership positions.</li><li>Proven experience leading teams through the complete data migration lifecycle, from strategy and planning through to execution, validation and transition.</li><li>Demonstrated success managing complex stakeholder relationships and delivering technical programmes within agreed scope, budget and timelines.</li><li>A relevant technical or professional degree in computer science, information technology, statistics, engineering or a comparable discipline</li></ul> Ngā āhuatanga kei a mātou: What we offer Auckland Council is one of the largest local authorities in the South Pacific providing essential services and facilities to more than 1.6 million people. We are progressive socially, culturally and environmentally while we work towards creating change having an impact on our journey to becoming a city we are proud of for our ratepayers and residents.Ehara taku toa, he takitahi, he toa takitini My success is not mine alone, but the success of many. In return for your hard work, you will be rewarded with a competitive salary and be a part of a friendly and collaborative team that is dedicated to our customers. You will receive dedicated training and development to help build your career and on top of this, as part of our Auckland Council Group, you will gain access to many benefits and discounts. Click link to find out more about our employee benefits package. If you have any questions about this role, please email me kennedy.sua@aucklandcouncil.govt.nzMe Tono Ināianei!: Apply Now! Applications close Sunday 8 November 2026 #workingforauckland  #dataleadership  #analyticsleadershipAuckland Council is an equal opportunity employer (EOE) and we are committed to providing a working environment that embraces and values diversity and inclusion. If you have any support or access requirements, we encourage you to advise us at the time of application to assist you through the recruitment process.

Auckland Council

Senior Manager - Data Engineering

ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity’s reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. While other companies talk about it, we do it! NEUTRON Rocket Lab’s Neutron team is responsible for bringing our new large rocket Neutron and its launch and test sites to life. From designing and testing Neutron’s structures and components, to firing up its new Archimedes engines, to setting up Neutron’s launch pads and test sites across the United States, joining the Neutron team is your opportunity to help launch a new large rocket for the very first time. TEAM LEAD - THERMOFLUIDS ANALYSIS We&#x27;re looking for a Team Lead to head up our Thermofluids Analysis team, taking ownership of all thermodynamics and fluid mechanics across our launch systems. In this role, you&#x27;ll lead a multidisciplinary team spanning Aeroscience, Thermal, and Propellant analysis, representing these domains to the program’s product-focused teams. You&#x27;ll inform and direct concept-level trades around architecture, operation, and capability; evaluate systems for their performance, environments, and characteristics; and use those insights to shape requirements and drive risk posture across the program. Beyond the technical, you&#x27;ll be responsible for building and developing the team itself—mentoring and supporting your direct reports, identifying skills gaps, meeting resourcing needs, and ensuring the successful delivery of key strategic engineering projects. You&#x27;ll also set the appropriate level of fidelity needed to make informed engineering decisions, develop and maintain the tools and capabilities that underpin the team&#x27;s analyses, and engage stakeholders across the organisation to unlock progress. This role is based in Auckland, New Zealand. WHAT YOU&#x27;LL GET TO DO: <ul><li>Leadership &amp; Team Development <ul><li>Manage, mentor, and develop your direct reports—providing coaching, timely feedback, and professional development opportunities while identifying skills gaps to drive cross-functional training</li><li>Ensure the successful delivery of key strategic engineering projects, negotiating resource and priority across the organization</li><li>Provide regular project status updates, conduct peer reviews, and produce qualification test levels through consistent application of approved margining approaches</li></ul></li><li>Aeroscience <ul><li>Generate aerotables and characterise vehicle performance—covering stability, control authority, loads, pressure distributions, and aerodynamic design of vehicle control surfaces</li><li>Perform, validate, and document CFD analyses of external flow across hypersonic, transonic and subsonic regimes, and characterise aerodynamic and heating environments, transients, and separation events</li><li>Model plumes and plume interactions (base heating, PIFS, impingement) and define re-entry architecture, including ballistic coefficients, ConOps, and compartment venting</li></ul></li><li>Thermal <ul><li>Own system thermal design across ground, flight, and in-space operations, including TPS response, compartment thermals, insulation, and component thermal modelling</li><li>Perform heat transfer simulations (conduction, convection, radiation) and characterise thermal environments, developing design guidelines and mitigations</li><li>Model HVAC and cavity conditioning (flow&#x2F;temperature specification, pressure drop, flammability, cleanliness, humidity) and support payload integration and customer ITAs</li></ul></li><li>Propellant <ul><li>Own propellant delivery and management—covering temperatures and stratification, cavitation margin, transients, slosh, PMD design, settling, and in-space thermodynamics—and perform CFD of internal fluid systems (compressible and incompressible flow)</li><li>Address depletion, residuals, and utilisation control, and own tank pressurisation, including pressurant budgets, in-tank thermodynamics, and autogenous system sizing</li><li>Design RCS systems, including N2 budget, thruster specification, and flow modelling of valves and lines</li></ul></li><li>Analysis &amp; Data <ul><li>Work closely with design and test engineers to iterate design concepts, determine test requirements, and demonstrate positive margins through numerical analysis, and physical test</li><li>Process and interpret ground test and flight data—confirming MPE bounds, detecting out-of-family results, and resolving sensor configuration issues </li></ul></li></ul> YOU&#x27;LL BRING THESE QUALIFICATIONS: <ul><li>A degree in Mechanical or Aerospace Engineering or similar field </li><li>5+ years industry experience, ideally from the Aerospace, Automotive, or Marine industries </li><li>A keen physics and first principles-based approach to problem solving </li><li>Experience with one or more industry standard CFD packages: Fluent, CFX, STAR-CCM+ </li><li>Experience with one or more industry standard thermal modelling packages: Thermal Desktop, THERMICA, NX SST </li><li>Expertise in engineering programming, especially using Python (including Python packages numpy , pandas, scipy , matplotlib, etc.) </li><li>Demonstrated ability executing to changing deadlines in a high-pressure and fast-paced work environment </li></ul> THESE QUALIFICATIONS WOULD BE NICE TO HAVE: <ul><li>Experience with sensor selection and data post-processing&#x2F; interpretation (accelerometers, strain gauges, thermocouples etc.) </li><li>Experience using NX CAD and Teamcenter packages (or comparable industry standard packages) with emphasis on model interrogation and defeaturing for subsequent analysis </li><li>Experience in mentoring junior engineers </li></ul> If the above sounds like you apply now! WHAT TO EXPECT We’re on a mission to unlock the potential of space to improve life on Earth, but that’s not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other’s backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and&#x2F;or the U.S. Department of Commerce, as applicable. Learn more about ITAR here . Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application&#x2F;interview process for a job in the United States should contact Giulia Johnson at g.biow@rocketlabusa.com. This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply&#x2F;interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant.  These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States&#x27; International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality.  For more information on these Regulations, click here ITAR Regulations.

Team Lead - Thermofluids Analysis

Work Cafe

Discounted Phone or Internet Plans

Payroll Giving

Lifestyle Leave

Childcare Support

Mō te tūranga | About the Role Westpac makes millions of automated credit decisions for our customers each year, whether it’s approving a home loan, authorising credit card transactions, or identifying and supporting customers who are financially struggling. The Credit Decision Analytics (CDA) Team is responsible for automating and optimising these decisions. We prototype, design, build, implement and manage automated decision strategies to deliver Westpac’s growth and digital objectives, manage risk appetite, and enhance the customer experience. Reporting to the CDA Manager, you will:<ul><li>Work with large, complex data sets.</li><li>Collaborate across Risk Management and product squads to deliver customer-centric lending solutions.</li><li>Prototype new analytical techniques, data sources and decision strategies.</li><li>Develop, implement and monitor decision strategy changes within Westpac’s decisioning platform.</li><li>Present actionable insights to stakeholders.</li><li>Undertake ad-hoc data analysis to support strategy decisions.</li></ul> Nā tāu rourou | What will you bring? <ul><li>2+ years’ experience in analytics or a similar role.</li><li>Strong SAS skills, which are essential, along with SQL or experience using other coding languages such as R or Python.</li><li>Experience in data manipulation and quantitative analysis.</li><li>Familiarity with reporting tools such as Power BI or Tableau.</li><li>Strong relationship-building skills with the ability to communicate insights clearly to a range of stakeholders.</li><li>A degree in a statistical, mathematical, economic or related field.</li></ul> Westpac Hei Wāhi Mahi | Working at Westpac In addition to immersing yourself in a supportive team environment, you&#x27;ll receive some great job perks and benefits including: <ul><li>4 weeks standard holiday + 5 additional days of wellbeing leave to support you to be your best </li><li>Additional purchased leave options up to 4 weeks per year </li><li>Banking benefits, insurance discounts and superannuation scheme </li><li>Growth and development – we provide opportunities for development and promote internal mobility </li><li>Recognition - we recognise and reward our star performers </li><li>School holiday subsidy - help you balance work and family during school holidays </li><li>2 Volunteer days per year </li></ul> Ko mātou tēnei | Our Organisation At Westpac, we’re working together to build a fairer and stronger New Zealand for our people, customers, and communities. For over 160 years we’ve been driven by our purpose to Create Better Futures Together. What makes us unique are the incredible people we’re lucky enough to have walk through our doors every day. The giant ‘W’ on our building doesn’t just stand for Westpac – it says, double you. We’re a place that values, rewards and recognises individuality. Where you can be your whole self, your true self, and your best self. We’re recognised as a place where talent is developed, where passions are fuelled and where ambitions of all shapes and sizes thrive. And it all starts with you! Tono mai ināianei! | Apply Now! Apply today with your CV and Cover Letter. The people of Aotearoa, New Zealand hail from many cultures and backgrounds. At Westpac New Zealand, we draw on this enormous talent pool to cultivate a team rich in ability and empowered to reach its full potential. Our aim is to be brave challengers, celebrating our differences and relentlessly advocating for our customers. It starts with us – we believe that when we care deeply and do our best for our people, they’ll do their best for our customers. We encourage people from all walks of life to apply, including those who are neurodivergent, have chronic health conditions or disabilities – your attitude and passion are as important to us as your experience, qualifications and capabilities. Mahi tahi tātou, kaha ake tātou | Together Greater Applications close: 31 October 2026

Westpac New Zealand

Analyst Credit Decision Analytics

Shape resilient water futures across New Zealand and the Pacific Mō tō mātou āhuatanga | Who we are At Tonkin + Taylor, we help clients solve some of the most complex water challenges facing New Zealand and the Pacific. From catchment hydrology and flood risk assessment to stormwater management, water infrastructure, hydropower, drought and climate resilience, our work helps communities make informed decisions and prepare for the future. If you’re motivated by applying hydrology to real-world infrastructure, flood risk and climate resilience challenges, this is an opportunity to contribute to projects that shape safer, more resilient communities across Aotearoa and the Pacific.Te Whiwhinga mahi | The opportunity We&#x27;re seeking an Engineering Hydrologist &#x2F; Water Engineer to join our growing Water team. This role is ideally suited to someone with a strong foundation in hydrology who is excited by the opportunity to apply their skills across a diverse range of water engineering projects. It would suit an intermediate- to senior-level practitioner with experience applying hydrology in consulting, local government, infrastructure, or water-related environments.As an Engineering Hydrologist &#x2F; Water Engineer, your primary focus will be the application of hydrological science and engineering principles to support infrastructure planning, flood risk management and climate resilience projects. You&#x27;ll undertake hydrological investigations, rainfall-runoff modelling, flood estimation and water resource assessments while also contributing to related water engineering disciplines including flood modelling, hydraulic structures, stormwater systems and water infrastructure design.Working alongside a multidisciplinary team of engineers, scientists and planners, you&#x27;ll help deliver practical and innovative solutions for clients across New Zealand and the Pacific.This position is full-time, can be based at any of our office locations across Aotearoa – Auckland, Hamilton, Tauranga, Wellington, Nelson or Christchurch.What you’ll do <ul><li>Undertake hydrological investigations, rainfall-runoff modelling, flood estimation and catchment assessments for a range of water-related projects.</li><li>Support flood risk management, climate resilience, hydraulic modelling and flood modelling studies.</li><li>Assist with the design and assessment of hydraulic structures, stormwater systems and water infrastructure.</li><li>Prepare high-quality technical reports, specifications, assessments and design documentation.</li><li>Work collaboratively with multidisciplinary project teams across the business.</li><li>Engage with clients, councils, infrastructure providers and project stakeholders to support successful project delivery.</li><li>Contribute to proposals, business development and client relationship growth where appropriate to your experience level.</li><li>Support and mentor junior staff, and contribute to technical excellence initiatives across T+T.</li></ul>Nā tōu rourou | What you&#x27;ll bring We&#x27;re interested in hearing from people with a passion for understanding water systems and solving complex challenges.Ideally, you&#x27;ll bring:<ul><li>A degree in Civil, Environmental or Water Resources Engineering (or similar).</li><li>Experience in hydrology, flood estimation, catchment modelling, or water resources assessments.</li><li>Strong analytical and problem-solving skills.</li><li>Experience with hydrological analysis and modelling tools. Experience with tools such as or similar would be advantageous.</li><li>Excellent written and verbal communication skills.</li><li>The ability to work collaboratively with clients and multidisciplinary teams.</li><li>A curious, practical mindset and the ability to translate technical analysis into clear advice for clients and communities.</li><li>A commitment to technical excellence and continuous learning.</li><li>Chartered status, or progress toward chartership, would be an advantage.</li></ul>If you don’t meet every requirement but have strong hydrology experience and a willingness to learn, we’d still encourage you to apply.Ngā Hua | Our benefits At T+T, you’ll be supported to do meaningful work, grow your career and enjoy a range of benefits, including:<ul><li>Flexible working arrangements, including the option to purchase additional leave</li><li>Professional development, mentoring, internal learning programmes and support toward chartership</li><li>Competitive remuneration, including paid overtime as per your employment agreement</li><li>A $750 annual wellbeing allowance, Sonder 24&#x2F;7 wellbeing support and annual flu vaccinations</li><li>Enhanced family support, including parental leave benefits and back-to-work coaching</li><li>A supportive, inclusive culture with active social clubs and meaningful projects across New Zealand and the Pacific</li></ul>Me pēhea te tuku tono | How to apply If this sounds like the right next step for you, we’d love to hear from you. Please apply online now by clicking “Apply now” or visit www.tonkintaylor.co.nz to learn more about careers at T+T.

Tonkin + Taylor

Engineering Hydrologist

Woman CEO

Water Conservation

Company DescriptionWaipapa Taumata Rau | The University of Auckland The University of Auckland is New Zealand’s leading University. With over 6000 academic and professional staff supporting over 46,000 students, we are one of NZ’s largest employers. We have six academic faculties, two large-scale research institutes and a number of professional service divisions creating a diverse, dynamic and complex organisational culture that demands excellence. Our lecturers and health researchers are regarded as experts in their fields, frequently directing global research projects designed to better the lives of New Zealanders and the world, and in turn passing this knowledge on to our students. Mō tō mātou rōpū | About the team The Faculty of Medical and Health Sciences is a diverse faculty with more than 4,000 students studying across six schools, led by world-leading researchers. We are committed to improving the health of our local, national and global communities through excellence in teaching, research, service and engagement. Job DescriptionTe Whiwhinga mahi | The opportunity The Precision Medicine Initiative (PMI) is a collaborative programme based at Waipapa Taumata Rau, University of Auckland. It focuses on applying genomics and data-driven approaches to improve diagnosis, treatment, and care. PMI is hosted by the Faculty of Medical and Health Sciences (FMHS) in partnership with the Auckland Academic Health Alliance, working at the interface of research and clinical practice. We are seeking a Bioinformatician on a 2-year fixed term to partner with key stakeholders inside and outside the University of Auckland, contributing to the clinical and research genomics work of the Precision Medicine Initiative. You will support the development, implementation, and routine delivery of accredited clinical pipelines, and contribute to research projects through the design and execution of reproducible workflows. The role includes quality assurance and interpretation of sequencing data, often linked to clinical metadata. There may also be opportunities to contribute to variant curation and the preparation of material for clinical multi-disciplinary meetings, including molecular tumour boards. While the focus of this role is research and clinical delivery, there is scope for involvement in research projects aligned with PMI’s translational goals. We are looking for someone with strong core bioinformatics skills and a solid understanding of molecular biology or clinical genomics. The ideal candidate will be as comfortable interpreting the significance of genomic data as they are running the pipeline that produced it. This is a full-time, 37.5 hours per week, 24-month fixed term contract. The salary range for this position is $110,700 - $136,700 per annum, depending on skills and experience For more detailed information, please refer to the <a href="https://uoa.sharepoint.com/:b:/s/PositionDescriptionManagement/IQBzZ03AKRlQS7FHxLkhECOnAaurPES1E15pSTdV_tmL4hs?e=rI2Lbo" target="_blank">Position Description</a> He kōrero mōu | About you You will already have bioinformatic experience in the design and analysis and interpretation of research and clinical projects. Experience and strong knowledge and skill across a broad range of advanced bioinformatic techniques is essential. Your ability to perform complex data manipulation and analysis using Python, R, Stata and&#x2F;or similar statistical software is a must. Strong communication will be essential in this role, both in your ability to work harmoniously within a team environment and independently, and your ability to translate complex data into meaningful insights. Ngā āhuatanga kei a mātou | What we offer The University of Auckland is New Zealand’s leading university and maintains significant computational, laboratory and analytic facilities. Auckland itself is frequently rated as one of the world’s most liveable cities. The University is committed to providing an excellent working environment through: <ul><li>Flexible employment practices (including working from home, flexible hours)</li><li>Up to 6.75% company superannuation scheme</li><li>A competitive salary with five weeks’ annual leave</li></ul> In addition, we also offer career development programmes, discounted car parking, a generous parental leave allowance, childcare, and a number of other discounts on internal and external services. For more information, please visit <a href="https://www.auckland.ac.nz/en/about-us/jobs-at-auckland/staff-benefits.html" target="_blank">Staff Benefits</a>. Me pēhea te tuku tono | How to apply Applications must be submitted online, by the closing date of 9 November 2026 to be considered. Please include your cover letter and your CV highlighting how you can meet the skills and experiences detailed above. Please reach out to Wesley Larkan via wesley.larkan@auckland.ac.nz for a confidential conversation. Please note we are happy to answer your questions but we do not accept applications by email. Additional InformationEquity The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment. For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website&#x27;s terms and privacy policy apply

Waipapa Taumata Rau | University of Auckland

Bioinformatician

Career Break

Volunteering

Charitable

Internal Mentoring

At IAG, we’re ready for you. We&#x27;re the largest general insurance group in Australia and New Zealand. Our family of brands turns the IAG purpose of making your world a safer place into action by helping everyday Aussies and New Zealanders, supporting their ambitions and making insurance accessible. Help shape how IAG plans for the future. As a Tactical Forecaster Analyst, you&#x27;ll help transform data into decisions that influence workforce planning across IAG New Zealand. This newly created role sits between strategic forecasting and workforce planning, helping bridge long-term forecasts with day-to-day operational planning. You&#x27;ll have the opportunity to build new ways of working, influence how the function evolves, and work alongside experienced workforce management professionals to deliver meaningful business outcomes. This is a permanent full-time role based in Tāmaki Makaurau (Auckland) or Ōtautahi (Christchurch). Ngā Mahi Hei Whakatutuki Māu | What You&#x27;ll Do<ul><li>Develop and maintain tactical forecasts that help ensure the right resources are available at the right time to meet customer demand.</li><li>Analyse business trends, operational performance and emerging changes to identify impacts on future workforce requirements.</li><li>Partner with stakeholders across the business to understand upcoming initiatives, events and operational changes that may influence customer demand.</li><li>Translate complex data into meaningful insights and recommendations that support workforce planning and business decision-making.</li><li>Collaborate closely with Strategic Forecasters and Workforce Planning teams to improve forecast accuracy and planning outcomes.</li><li>Contribute to the ongoing development, optimisation and future automation of forecasting processes and tools.</li></ul> Ōu Pūkenga me ōu Wheako | What You&#x27;ll Bring <ul><li>A background in workforce management, workforce planning, forecasting, reporting, analytics, or a related discipline.</li><li>Well-developed analytical capability, with confidence interpreting complex datasets and uncovering meaningful trends and insights.</li><li>Proven ability to build trusted relationships and collaborate effectively with stakeholders across different business areas.</li><li>Advanced Excel skills, coupled with a high level of accuracy and attention to detail.</li><li>Exceptional communication skills, with the ability to translate technical information into clear, actionable business insights.</li><li>Curiosity, adaptability and a continuous improvement mindset, with a desire to enhance processes and drive better outcomes.</li><li>Exposure to automation, AI, SQL or Python would be advantageous but is not essential.</li></ul> Tā Mātau ki a Koutou| What We Offer<ul><li>Boosted KiwiSaver with 4.5% employer contribution and life insurance as standard.</li><li>20 days annual leave + 5 days MyLeave (extra leave for what’s important to you).</li><li>Up to 50% off personal insurance, including home and motor insurance.</li><li>Annual $500 health &amp; wellbeing payment.</li><li>14 Weeks paid parental leave.</li><li>Access to LinkedIn Learning, the award-winning IAG Academy, study assistance and secondment opportunities.</li></ul>*employment type eligibility criteria apply Applications close: Thursday 5 November 2026 11:59PM NZDTTā Mātau Ratonga Tautoko | Adjustments &amp; SupportIf you require any support or adjustments to participate equitably in our recruitment process, we encourage you to reach out to careers@iag.co.nz for a confidential conversation. He pitopito kōrero anō mō mātau | More About UsAs part of IAG you&#x27;ll enjoy a world of career opportunities, a purpose-led place focused on creating connection and belonging, and where you can create meaningful impact every day and grow your career beyond the expected. That’s not just words. It’s our people promise. We&#x27;re ready for you with unexpected opportunities for your career, your work-life and your ability to make a difference. We acknowledge Tāngata Whenua in Aotearoa and are committed to growing Māori prosperity and wellbeing in Aotearoa through He Rautaki Māori (IAG’s Māori Strategy). We celebrate unique viewpoints shaped by life experiences, cultures and passions. And expand careers, genuinely connect with community, lead with a powerful purpose and celebrate what makes you individual.

Tactical Forecasting Analyst

Mō te tūranga | About the Role We’re looking for a Senior Modeller to join our Quantitative Risk Management (QRM) team, applying your quantitative expertise to help shape Westpac’s credit risk profile and strengthen how we understand and manage risk.You’ll work across retail and non-retail portfolios, collaborating with teams across the bank to deliver high-quality modelling outcomes and strengthen best practice. You’ll also bring your expertise to wider modelling projects, work closely with stakeholders across the bank and help grow modelling capability and best practice across QRM. In this role, you’ll:<ul><li>Develop and enhance Probability of Default (PD), Exposure at Default (EAD) and Loss Given Default (LGD) credit risk models.</li><li>Monitor model performance and develop supporting tools.</li><li>Support stress testing, scenario analysis, benchmarking and model reviews.</li><li>Contribute to model governance, validation and regulatory reviews.</li><li>Share your expertise and help grow modelling capability across QRM.</li><li>Improve practices across analytics, coding, documentation and data visualisation.</li><li>Challenge existing processes to improve efficiency, accuracy and quality.</li><li>Collaborate with stakeholders to keep projects moving and deliver quality outcomes.</li></ul> Nā tāu rourou | What will you bring? You’ll bring a strong quantitative mindset and enjoy using data and modelling to solve complex problems and deliver practical insights. Ideally, you’ll have:<ul><li>A tertiary qualification in Statistics, Mathematics or a related field.</li><li>Proficiency in at least one analytical programming language such as SAS, SQL, R or Python, with the ability and willingness to learn new tools.</li><li>Strong analytical and problem-solving skills.</li><li>The ability to write clear technical documentation and confidently communicate your findings to senior stakeholders.</li><li>Strong attention to detail and the confidence to constructively challenge.</li><li>A collaborative approach and the ability to proactively manage timelines and work with others to resolve blockers.</li><li>Familiarity with regulatory frameworks such as the Basel Accord, RBNZ Banking Prudential Requirements, APRA Prudential Standards or IFRS would be an advantage, but isn’t essential.</li></ul> If you enjoy combining quantitative modelling, coding and problem solving with the opportunity to influence how credit risk is understood and managed, we’d love to hear from you. Westpac Hei Wāhi Mahi | Working at Westpac Immersing yourself in a supportive team environment, and receive some of the best banking, and lifestyle benefits in the market along with:<ul><li>4 weeks standard holiday + 5 additional days of wellbeing leave to support you to be your best</li><li>Additional purchased leave options up to 4 weeks per year</li><li>Banking benefits, insurance discounts and superannuation scheme</li><li>Career growth – we promote internal capability; we have programmes that recognise star performers</li><li>Generous parental leave – and top up government paid parental leave</li><li>School holiday subsidy - help you balance work and family during school holiday</li><li>2 Volunteer days per year</li></ul> Ko mātou tēnei | Our Organisation At Westpac, we’re working together to build a fairer and stronger New Zealand for our people, customers, and communities. For over 160 years we’ve been driven by our purpose to Create Better Futures Together. What makes us unique are the incredible people we’re lucky enough to have walk through our doors every day. The giant ‘W’ on our building doesn’t just stand for Westpac – it says, double you. We’re a place that values, rewards and recognises individuality. Where you can be your whole self, your true self, and your best self. We’re recognised as a place where talent is developed, where passions are fuelled and where ambitions of all shapes and sizes thrive. And it all starts with you! Tono mai ināianei! | Apply Now! Apply today with your CV and Cover Letter. The people of Aotearoa, New Zealand hail from many cultures and backgrounds. At Westpac New Zealand, we draw on this enormous talent pool to cultivate a team rich in ability and empowered to reach its full potential. Our aim is to be brave challengers, celebrating our differences and relentlessly advocating for our customers. It starts with us – we believe that when we care deeply and do our best for our people, they’ll do their best for our customers. We encourage people from all walks of life to apply, including those who are neurodivergent, have chronic health conditions or disabilities – your attitude and passion are as important to us as your experience, qualifications and capabilities. Mahi tahi tātou, kaha ake tātou | Together Greater Applications close: 6 November 2026

Senior Modeller

Gender Transition Suport

Get the latest smartphones with a market-leading plan and laptop sim card, so you can stay connected and productive anywhere.

Primary carers get 22 weeks of salary top-ups plus 26 days of paid leave upon return, with secondary carers receiving a matching 26 days allowance.

<h4>He aha ai tātou – Why us? </h4> At One NZ we’re not just imagining the future, we’re building it. Our purpose? A better-connected Aotearoa New Zealand. Kia renarena te taukaea i Aotearoa New Zealand. Our ambition? To become the most AI-enabled telco on the planet. This isn’t just about our technology, It’s about you. We’re investing in our people like never before.... empowering them to grow, lead, and shape what’s next. Through our AI School, access to world-class learning platforms, or career pathways that evolve with you, we create an environment where your curiosity thrives, and your skills accelerate. Join us and be part of something extraordinary: connect with purpose and help redefine what’s possible. Uia mai koe te pātai, he aha te mea nui o tēnei ao? Māku koe e ki atu he tangata, he tangata, he tangata. “If you asked me, what is the greatest thing in this world, I would say it is people, it is people, it is people.” <h4>Ko tō tūranga – your role </h4> As Head of AI &amp; Data Engineering, you’ll lead the engineering capability that turns One New Zealand’s AI and data ambitions into secure, scalable and production-ready solutions. Leading our AI Solution Engineering, Data Engineering and AI&#x2F;Data Platform Engineering teams, you’ll have end-to-end accountability for taking AI and data solutions from technical discovery and architecture through to build, production and ongoing operation. This is a pivotal leadership role at the heart of how One NZ builds and scales AI. You’ll set the standard for engineering excellence, develop reusable AI and data platforms, and create faster, safer pathways from idea to production. Working alongside Product, Technology Engineering, Architecture and transformation teams, you’ll build strong internal engineering capability and ensure our people, platforms and practices enable One NZ to innovate responsibly, operate reliably and deliver AI and data solutions at scale. <h4>Ko tō mahi – what you’ll do </h4> <ul><li>Lead AI Solution Engineering, Data Engineering and AI&#x2F;Data Platform Engineering, building a high-performing, AI-native engineering capability. </li><li>Set and continuously raise engineering standards across AI, data and software, including architecture, security, testing, CI&#x2F;CD, observability and operational readiness. </li><li>Own the technical roadmap and engineering quality of AI and data platforms, creating scalable, reusable foundations that accelerate delivery across One NZ. </li><li>Establish effective pathways to take AI and data solutions from discovery and prototype through to secure, reliable and scalable production. </li><li>Ensure trusted, governed and timely data through strong data engineering practices, including pipelines, data products, quality, lineage and access. </li><li>Build and develop engineering leadership and capability, strengthening succession, performance and internal expertise while reducing dependency on external partners. </li><li>Drive engineering efficiency and platform economics through greater reuse, self-service, effective build&#x2F;buy&#x2F;partner decisions and disciplined management of technology costs. </li><li>Partner across Product, Technology, Architecture and transformation teams to remove delivery barriers and ensure clear end-to-end accountability for reliability, security, privacy and Responsible AI. </li></ul> <h4>Na tōu rourou - what you’ll bring </h4> <ul><li>Proven senior leadership experience within a multidisciplinary engineering environment, with a track record of leading leaders, building high-performing teams and developing organisational capability. </li><li>Deep technical expertise across cloud and modern software engineering, including distributed systems, APIs, DevSecOps, CI&#x2F;CD, automated testing, infrastructure as code, SRE and observability. </li><li>Strong understanding of modern AI engineering and architecture, including LLMs, RAG, agentic systems, orchestration, evaluation, guardrails and AI lifecycle management. </li><li>Strong data engineering expertise, spanning data pipelines and products, batch and streaming, data quality, lineage, governed access and platform modernisation. </li><li>Demonstrated experience taking complex technology solutions from discovery and architecture through to secure, reliable and scalable production. </li><li>Strong commercial and engineering judgement, with the ability to balance security, privacy, Responsible AI, reliability, cost and build&#x2F;buy&#x2F;partner decisions. </li><li>Ability to operate effectively between enterprise strategy and deep technical detail, translating business priorities into clear technology and engineering outcomes. </li><li>An influential communicator and collaborator, comfortable engaging executive leaders, technical specialists and cross-functional teams to drive decisions and deliver change. </li></ul> <h4>Nā mātou te rourou – what you’ll get </h4> <ul><li>One New Zealand is leading the way by ensuring you can have a truly balanced life. Most roles allow flexibility to work from home and flex your hours to enjoy work &amp; whānau commitments. </li><li>A fully subsidised Southern Cross health insurance cover for you and your family. </li><li>Lifestyle leave, giving you the option to purchase an extra week or two of annual leave. </li><li>Discounts on One New Zealand products, services and much more! </li></ul> We are proudly Rainbow Tick certified and champion diversity of thought, perspective and background. Joining our whānau is more than starting a new job - it’s the beginning of a journey that will challenge and inspire you to play a role in something bigger. Tū hikitia rā, tū hāpainga. Tū hāpainga, tū hikitia rā. We stand to uplift, to support and to elevate others . #LI-ED1

Flexible working & work from anywhere (most roles): Work from home, flex your hours, and even work up to 20 days offshore in certain countries around the world for the perfect work-life balance.

Enjoy fully subsidised Southern Cross health insurance for you and your immediate whanau, life and terminal illness cover, and free flu shots.

ONE NZ

Head of AI & Data Engineering

<h4>He aha ai tātou – Why us? </h4> At One NZ we’re not just imagining the future, we’re building it. Our purpose? A better-connected Aotearoa New Zealand. Kia renarena te taukaea i Aotearoa New Zealand. Our ambition? To become the most AI-enabled telco on the planet. This isn’t just about our technology, It’s about you. We’re investing in our people like never before.... empowering them to grow, lead, and shape what’s next. Through our AI School, access to world-class learning platforms, or career pathways that evolve with you, we create an environment where your curiosity thrives, and your skills accelerate. Join us and be part of something extraordinary: connect with purpose and help redefine what’s possible. Uia mai koe te pātai, he aha te mea nui o tēnei ao? Māku koe e ki atu he tangata, he tangata, he tangata. “If you asked me, what is the greatest thing in this world, I would say it is people, it is people, it is people.” <h4>Ko tō tūranga – your role </h4> As the Principal AI Solution Engineer your role is to collaborate closely with business stakeholders and engineering teams to understand needs and develop highly performant, scalable AI and data solutions that support One NZ’s business strategies. As a key member of the AI &amp; Data Engineering team, you’ll provide hands-on technical leadership across complex initiatives, own and uplift AI solution engineering craft, and help shape the technical patterns, frameworks and delivery practices that enable One NZ to become the most AI-enabled telco in the world. <h4>Ko tō mahi – what you’ll do </h4> <ul><li>Own the detailed technical solutioning and execution of AI engineering strategy and initiatives. </li><li>Translate technical strategy, standards and architecture into practical implementation plans and executable solution designs. </li><li>Provide hands-on technical leadership across complex delivery streams, ensuring solutions align to agreed standards, patterns and architectural direction. </li><li>Develop, maintain and champion reusable AI, data, cloud and software engineering patterns that support consistent delivery across squads. </li><li>Mentor and uplift engineers through pairing, design reviews, technical coaching, knowledge sharing and structured development planning. </li><li>Maintain and reinforce AI engineering frameworks covering solution design, coding standards, DevOps and AgentOps practices, prompt and agent patterns, lifecycle management, observability, evaluation, governance and production readiness. </li><li>Rapidly prototype and test new technologies, approaches and solution patterns to validate feasibility and reduce delivery risk. </li><li>Ensure AI solutions are secure, safe, scalable, observable, performant, explainable, reliable, cost-aware and production-ready. </li><li>Guide technical decision-making, resolve delivery blockers and provide clear recommendations on feasibility, trade-offs, risks, investment choices and delivery approach. </li><li>Produce clear technical designs, decision records, implementation guides, runbooks and knowledge-sharing materials. </li><li>Define and uplift the AI Solution Engineering craft, including capability standards, development pathways, certification plans and engineering quality practices. </li></ul> <h4>Na tōu rourou - what you’ll bring </h4> <ul><li>Deep hands-on expertise across AI solution engineering, GenAI, LLM integration, agentic workflows, prompt engineering, retrieval augmented generation, APIs, automation, cloud platforms, DevOps, AgentOps and modern software practices. </li><li>Proven technical leadership skills, with the ability to coach, motivate and develop technical professionals through teaching, feedback, mentoring and structured development planning. </li><li>Experience with AWS Agentcore is essential for the role. </li><li>Strong understanding of AI solution patterns, including LLM orchestration, RAG, agent design, tool use, workflow automation, human-in-the-loop design, evaluation frameworks, vector stores and enterprise integration patterns. </li><li>Strong knowledge of software engineering principles and modern programming environments, including Python, APIs, CI&#x2F;CD, testing, data quality, metadata, semantic layers, knowledge retrieval and access control. </li><li>Proven hands-on experience working with cloud and AI platforms, ideally including AWS, enterprise AI platforms, orchestration tools, vector databases, monitoring tooling and integration with existing data platforms. </li><li>Ability to turn strategy, standards and high-level architecture into practical implementation plans and working solutions, balancing engineering outcomes with cost, risk, timeframes and business value. </li><li>A responsible approach to data and AI use, with strong awareness of cyber security, privacy, compliance, governance and operational risk. </li><li>Systems thinking and problem-solving skills, with the ability to work through ambiguity and create pragmatic, scalable solution options. </li><li>Clear technical communication and influencing skills, with the ability to explain design decisions, challenge direction constructively and bring teams along collaboratively. </li></ul> <h4>Nā mātou te rourou – what you’ll get </h4> <ul><li>One New Zealand is leading the way by ensuring you can have a truly balanced life.  Most roles allow flexibility to work from home and flex your hours to enjoy work &amp; whānau commitments. </li><li>A fully subsidised Southern Cross health insurance cover for you and your family. </li><li>Lifestyle leave, giving you the option to purchase an extra week or two of annual leave. </li><li>Discounts on One New Zealand products, services and much more! </li></ul> We are proudly Rainbow Tick certified and champion diversity of thought, perspective and background. Joining our whānau is more than starting a new job - it’s the beginning of a journey that will challenge and inspire you to play a role in something bigger. Tū hikitia rā, tū hāpainga. Tū hāpainga, tū hikitia rā. We stand to uplift, to support and to elevate others. #LI-DW1

Principal AI Solution Engineer

Data Scientist

Auckland

Data Scientist Jobs in Auckland