Data Scientist

Data Scientist

About the Role & Company

This is an opportunity to join one of the world's most innovative insurers at the forefront of climate risk modelling. With $100M+ in Series B funding and full-stack underwriting capabilities, this company is redefining parametric insurance through data science, satellite imagery, and IoT.

Their global team includes elite scientists and insurance experts, delivering cutting-edge risk products to businesses and governments worldwide. As a Data Scientist, you'll sit within the underwriting data science team, helping to develop and deploy high-impact climate and natural catastrophe models.

Key Responsibilities

• Design and enhance statistical models and ML algorithms to better forecast weather and natural hazard risks (wildfires, hail, tsunamis, etc.)
• Build performant, scalable tools to price and monitor risk in real-world environments
• Translate client needs into technical modelling improvements alongside commercial colleagues
• Contribute to the development of the company's internal platform and tooling
• Participate in R&D sessions and technical discussions to ensure continued innovation
• Take on technical responsibility for model performance, accuracy, and deployment
• Collaborate with a diverse team across underwriting, product, and engineering

Requirements

• Master's degree in computer science, statistics, applied mathematics, or a related discipline
• Prior experience (internship or full-time) in data science or climate risk modelling
• Strong grasp of statistical modelling and machine learning techniques
• Proficiency in Python and common ML libraries (e.g. scikit-learn)
• Curious, pragmatic, and driven to solve real-world problems with high social impact
• Passionate about the intersection of data science, insurance, and climate resilience

If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).