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 Youll 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 Youll 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 Youll 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
DescriptionShape AI solutions for natural hazard risk modellingInfluence insurance resilience across AustraliaBrisbane l Sydney l Melbourne l 12-month max-term contract opportunityAbout the RoleAs a Natural Perils Data Scientist you will help design and enhance computational models used to assess th...
Description
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 Youll 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 Youll 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 Youll 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