Shape nextgeneration 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 AIassisted computational models that enhance how we understand and price natural hazard risk. Working in a supportive technical environment you will contribute to cuttingedge modelling approaches that inform decisions across our insurance portfolio and strengthen resilience for customers.
What Youll Do
Lead the development of AIaugmented workflows that generate highquality 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 promptengineering frameworks that produce robust implementations for numerical modelling and simulation supporting largescale hazard algorithms.
Integrate insights from earth system science into natural hazard models ensuring assumptions and results are wellvalidated.
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 Youll Bring
Advanced technical qualifications (Masters 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 machinelearning 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 deeplearning frameworks applying them to numerical spatial or scientific modelling tasks.
Strong experience with AWS GPU compute and parallelisation approaches to support highvolume highcomplexity workloads.
Advanced programming capability in Python and lowerlevel languages enabling efficient validated implementation of complex algorithms.
Ability to simplify complex scientific problems and communicate findings clearly to technical and nontechnical audiences.
What Youll Enjoy
Access our awardwinning 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 onthejob learning and a $1000 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
Performancebased bonuses and Suncorp shares for eligible employees
Diversity is celebrated through employee resource groups and inclusive policies for all families
Explore our full benefits: 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: AUS Eastern Daylight Time Applications close: AUS Eastern Daylight Time
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Data Scientist Natural Perils PricingJob No: 678493 Sydney - Inner Suburbs & CBD Brisbane - Inner Suburbs & CBD Melbourne - Inner Suburbs & CBD Permanent Full Time Insurance Pricing Planning and Analysis Pay Band 5Brisbane Sydney or MelbourneShape nextgeneration models for natural hazard riskSuppor...
Shape nextgeneration 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 AIassisted computational models that enhance how we understand and price natural hazard risk. Working in a supportive technical environment you will contribute to cuttingedge modelling approaches that inform decisions across our insurance portfolio and strengthen resilience for customers.
What Youll Do
Lead the development of AIaugmented workflows that generate highquality 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 promptengineering frameworks that produce robust implementations for numerical modelling and simulation supporting largescale hazard algorithms.
Integrate insights from earth system science into natural hazard models ensuring assumptions and results are wellvalidated.
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 Youll Bring
Advanced technical qualifications (Masters 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 machinelearning 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 deeplearning frameworks applying them to numerical spatial or scientific modelling tasks.
Strong experience with AWS GPU compute and parallelisation approaches to support highvolume highcomplexity workloads.
Advanced programming capability in Python and lowerlevel languages enabling efficient validated implementation of complex algorithms.
Ability to simplify complex scientific problems and communicate findings clearly to technical and nontechnical audiences.
What Youll Enjoy
Access our awardwinning 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 onthejob learning and a $1000 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
Performancebased bonuses and Suncorp shares for eligible employees
Diversity is celebrated through employee resource groups and inclusive policies for all families
Explore our full benefits: 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: AUS Eastern Daylight Time Applications close: AUS Eastern Daylight Time