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Job Title


Data Scientist Natural Perils Pricing


Company : Aurizon Holdings Limited


Location : Brisbane, Queensland


Created : 2026-02-07


Job Type : Full Time


Job Description

Take the next step. Be part of something bigger at Suncorp.Permanent Full TimeInsurance, Pricing, Planning and AnalysisShape nextgeneration models for natural hazard riskSupportive culture; 50% WFHContribute to meaningful outcomes for communities across AustraliaAbout the RoleYou 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 You''ll DoLead 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 You''ll BringAdvanced 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 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 You''ll EnjoyAccess 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 annuallyPaid study support, career breaks, onthejob learning, and a $1,000 referral bonus for eligible employeesFree wellbeing coaching, a dedicated Employee Council, and confidential EAP accessDiscounts at 400+ retailers, insurance savings, gym memberships, and reduced super feesPaid volunteer leave, donation matching, and unlimited emergency response leavePerformancebased bonuses and Suncorp shares for eligible employeesDiversity is celebrated through employee resource groups and inclusive policies for all familiesExplore our full benefits: www.suncorpgroup.com.au/careers/benefitsAt 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 [email protected] 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 TimeApplications close: 12 Feb 2026 AUS Eastern Daylight TimeDon''t see your dream job posted? No problem, sign up for job alerts and we''ll let you know once something becomes available. #J-18808-Ljbffr