HOME Data Science & ML Natural Perils Data Scientist
  • Suncorp
  • Sydney, NSW
  • Contract
  • 77 days ago
Suncorp VERIFIED EMPLOYER

Natural Perils Data Scientist.

Data Science & ML Contract

Natural Perils Data Scientist: our view in 3 lines...

  • The Role:This role is for a data scientist who applies AI and machine learning to natural hazard risk modelling in insurance.
  • The Person:The person will design and implement AI workflows, build retrieval-augmented generation systems, develop prompt engineering frameworks, evaluate AI tools, establish quality controls, and work with pricing, underwriting, claims and reinsurance stakeholders.
  • Requirements:The ideal candidate has a postgraduate qualification in a technical discipline, 3+ years’ experience applying AI and machine learning, strong programming capability in Python, and exposure to PyTorch, TensorFlow, C/C++ or Fortran, AWS, and statistical analysis.

About the role

  • Shape AI solutions for natural hazard risk modelling
  • Influence insurance resilience across Australia
  • Brisbane l Sydney l Melbourne l 12-month max-term contract opportunity 

About the Role

 

As a Natural Perils Data Scientist, you will help design and enhance computational models used to assess the impact of cyclones, floods, bushfires, earthquakes and severe storms. You will combine AI, cloud technologies and scientific modelling to improve how risk is understood and priced. This role partners with technical specialists and business stakeholders to deliver robust, data-driven solutions that support insurance outcomes and community resilience across Australia.

 

What You'll Do

 

  • Design and implement AI workflows that support model development, optimisation, validation and documentation.
  • Build retrieval-augmented generation systems integrating scientific literature, technical documentation and code repositories.
  • Develop prompt engineering frameworks that generate high-quality numerical computing solutions.
  • Evaluate AI capabilities and recommend new tools, models and approaches for team adoption.
  • Establish quality controls and validation processes for AI-assisted technical outputs.
  • Collaborate with stakeholders across pricing, underwriting, claims and reinsurance to share insights and expertise.

 

What You'll Bring

 

  • Postgraduate qualifications in computer science, data science, physics, engineering, actuarial studies or a related technical discipline.
  • At least 3+ years’ experience applying AI and machine learning techniques within complex modelling environments.
  • Strong programming capability in Python and exposure to technologies such as PyTorch, TensorFlow, C/C++ or Fortran.
  • Knowledge of cloud platforms, preferably AWS, and experience using large-scale computational resources.
  • Expertise in model development, testing, validation, mathematics and statistical analysis.
  • Experience in insurance, engineering, and the climate science fields would be advantageous, though not essential.

 

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 work environment being part of a great culture 
  • 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
  • Diversity is celebrated through employee resource groups and inclusive policies for all families

 

Explore our full benefits

 

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

Published July 28, 2026
Location Sydney, Australia
Category Data Science & ML  
Job Type Contract