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Urgent! Actuarial Data Scientist Job Opening In Auckland – Now Hiring Insurance Australia Group Limited

Actuarial Data Scientist



Job description

Overview
Actuarial Data Scientist
role at IAG.
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.
Mo te Turanga | 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
Tamaki Makaurau (Auckland).
Ou Pukenga | 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 ****, at 11:59 NZT.
Make sure to discuss all internal applications with your current manager before applying.
All this shows up in what we offer:
Benefits
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 WorkplaceTM
*employment type eligibility criteria apply
Mo matou| 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 resiliencedesign.
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 Tangata Whenua in Aotearoa and are committed to growing Maori prosperity and wellbeing in Aotearoa through He Rautaki Maori (IAG's Maori 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.
We're ready for you.
Apply today.
Learn more about
who IAG is here
.
#J-*****-Ljbffr


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