Data Scientist – Data & Analytics Products
Core
Develop predictive features and models using statistical and machine learning techniques to support risk assessment, pricing, and decisioning for insurers, while maintaining production data quality and performance.
Role type
Senior IC data scientist (insurance/risk analytics)
Builds
Predictive models, data features, and data pipelines for live decisioning environments
Domain
Insurance, property risk, pricing, and credit risk
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python or R, SQL, statistical modelling, feature engineering, machine learning, data pipeline maintenance, API/flat-file delivery, geospatial data handling, cloud environments (AWS/Azure)
Preferred skills
Generative AI tools, commercial experience in data science, background in insurance/risk/credit/regulated industries
Technologies
Python, R, SQL, AWS, Azure, Git, shapefiles, geocoding
Responsibilities
Develop predictive features and models for risk assessment and pricing; Extract insights from structured, unstructured, and geospatial datasets; Improve existing features and models to enhance performance; Monitor and improve data pipelines and feature performance; Analyse and improve the completeness and integrity of the underlying data estate; Use generative AI tools to improve workflows and accelerate analysis
Seniority
Senior, hands-on IC