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Data scientist – natural perils pricing

Sydney
Suncorp Group
Data Scientist
Posted: 4 February
Offer description

Brisbane, Sydney or Melbourne

* Shape next‑generation models for natural hazard risk
* Supportive culture; 50% WFH
* Contribute to meaningful outcomes for communities across Australia

About the Role

You will design and develop advanced AI‑assisted computational models that enhance how we understand and price natural hazard risk. Working in a supportive technical environment, you will contribute to cutting‑edge modelling approaches that inform decisions across our insurance portfolio and strengthen resilience for customers.

What You'll Do

* Lead the development of AI‑augmented workflows that generate high‑quality code and scientific outputs, ensuring models are accurate and fit for purpose.
* Design RAG systems that connect scientific literature, technical documentation, and code repositories to accelerate model development.
* Develop prompt‑engineering frameworks that produce robust implementations for numerical modelling and simulation, supporting large‑scale hazard algorithms.
* Integrate insights from earth system science into natural hazard models, ensuring assumptions and results are well‑validated.
* Monitor AI use across the team and establish quality controls to ensure outputs meet regulatory and actuarial standards.
* Share knowledge and collaborate effectively across multiple business areas to support broader scientific and strategic outcomes.

What You'll Bring

* Advanced technical qualifications (Master's or PhD) in a relevant field such as physics, engineering, computer science, data science, or earth system science, enabling you to design scientifically rigorous models.
* Experience applying AI or machine‑learning methods to complex modelling challenges (e.g., climate, hydrology, nonlinear dynamics), demonstrating your ability to translate theory into impactful solutions.
* Proficiency with neural networks and modern deep‑learning frameworks, applying them to numerical, spatial, or scientific modelling tasks.
* Strong experience with AWS, GPU compute, and parallelisation approaches to support high‑volume, high‑complexity workloads.
* Advanced programming capability in Python and lower‑level languages, enabling efficient, validated implementation of complex algorithms.
* Ability to simplify complex scientific problems and communicate findings clearly to technical and non‑technical audiences.

What You'll Enjoy

Access our award‑winning Shine platform – your central hub for exclusive perks, wellbeing support, career development, and recognition. Shine has been recognised for excellence in employee experience, making it easier than ever to access what matters most to you.

* Hybrid working, flexible leave, 20 weeks paid parental leave, and up to 5 days paid flexible leave annually
* Paid study support, career breaks, on‑the‑job learning, and a $1,000 referral bonus for eligible employees
* Free wellbeing coaching, a dedicated Employee Council, and confidential EAP access
* Discounts at 400+ retailers, insurance savings, gym memberships, and reduced super fees
* Paid volunteer leave, donation matching, and unlimited emergency response leave
* Performance‑based bonuses and Suncorp shares for eligible employees
* Diversity is celebrated through employee resource groups and inclusive policies for all families

Explore our full benefits:

At Suncorp we believe we are our best when our workforce is as diverse, talented and passionate as the communities in which we live and operate, and where our people feel included, valued and connected. We are passionate about inspiring our people by creating a diverse, accessible, and inclusive culture, offering flexible work, career development and internal mobility, and building connected relationships amongst our team members and with our customers.

If you require any support and adjustments to participate equitably in our recruitment process or in the workplace, we encourage you to contact for a confidential conversation. To apply for this opportunity, please submit your application directly via the link provided.

Advertised: 03 Feb 2026 AUS Eastern Daylight Time

Applications close: 12 Feb 2026 AUS Eastern Daylight Time

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