Tech Data Scientist

Xcede
London
4 months ago
Applications closed

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This is an opportunity to join one of the worlds 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, youll sit within the underwriting data science team, helping to develop and deploy high-impact climate and natural catastrophe models.

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
Take on technical responsibility for model performance, accuracy, and deployment
Masters 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)
Passionate about the intersection of data science, insurance, and climate resilience

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