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Urgent! Actuarial Data Scientist Job Opening In WorkFromHome – Now Hiring IAG

Actuarial Data Scientist



Job description

Make a difference as an Actuarial Data Scientist

IAG is the largest general insurance group in Aotearoa New Zealand and Australia.

We help make your world a safer place through creating a stronger and more resilient business and enabling our portfolio of iconic insurance brands.

Mō te Tūranga | About the Role

We’re looking for a forward-thinking Actuarial Data Scientist to bring cutting-edge data science techniques into our actuarial practice.

In this role, you’ll own end-to-end lifecycle of model design, dataset construction, training, and optimization.

You will be responsible for architectural design through all phases of development.

You’ll design machine learning solutions, uncover deep insights using statistical analysis, and support financial reporting through robust data processes.

Collaborating across Actuarial Reserving, Finance, and Data teams, you’ll help streamline operations and improve decision-making.

You’ll also maintain and optimise existing models, run ad-hoc programs, and explore new tools and techniques to stay ahead of industry trends.

If you're passionate about blending actuarial expertise with advanced analytics, we’d love to hear from you.

This is a permanent, full-time hybrid role, based in Tāmaki Makaurau (Auckland) .

Ōu Pūkenga | About You

What You’ll Bring

  • Proven experience in R and Python for data analysis and machine learning
  • Strong skills in data manipulation using data.table, xgboost, future/future.apply, dplyr, Pandas, NumPy for modelling and automation
  • Solid foundation in statistics, data analysis, and data science techniques
  • Excellent communication and strong relationship-building skills with peers and stakeholders
  • Strong problem-solving mindset with a focus on efficiency and innovation
  • Tertiary qualification in Statistics, Actuarial Science, or Data Science
  • Passion for improving business processes and delivering internal customer excellence

It would be nice to have

  • Exposure to cloud platforms (e.g. AWS, Azure) and dbt for data transformation
  • Ability to identify trends and recommend data-driven actions
  • Experience in or strong interest in applying data science within the insurance industry

Applications close Thursday 23 October 2025, at 11:59 NZT .

All This Shows Up In What We Offer

  • Boosted Kiwisaver with 4% employer contribution and life insurance as standard
  • Up to 50% off personal insurance, including home and motor insurance
  • Annual $500 Health & Wellbeing payment
  • 5 myLeave days per year on top of annual leave
  • Work from home and many more flexibility options with myFlex
  • Dedicated career growth programs, including the award-winning IAG Academy
  • Partner discounts on everyday and special occasion items
  • A certified Family Inclusive Workplace™
  • employment type eligibility criteria apply

Mō mātou | About us

IAG is the largest general insurance group in Aotearoa New Zealand and Australia.

We’re also a tech and research facility, a hub for climate change experts and a centre of resilience design.

We chat over coffee with customers, advocate for them in the corridors of Parliament and back them up in the community when life’s moments hit hardest.

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.

We're passionate about social issues, walk the talk on sustainability and strive to do more than standard on things that matter.

We’re proud to be an accredited family-friendly workplace and are committed to being a safe and supportive space for all our employees.

We do this because we’re ready for you.

Apply today.

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Required Skill Profession

Database, Analytics & Bi



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