Analysing large datasets using tools such as SQL, Python, and Radar to support pricing and underwriting decisions
Supporting the development of data assets and models, contributing to improved risk assessment and pricing accuracy
Producing clear insights and analysis, and communicating findings to both technical and non-technical stakeholders
Collaborating with Retail Pricing and Platform teams to support the release of platform and pricing changes
Contributing to experiments and analysis, helping to test ideas and quantify their potential impact (with guidance from more senior colleagues)
Supporting the delivery of projects, working with more experienced team members to ensure high-quality and timely outcomes

Experience using SQL and Python for data analysis
Previous experience, or a demonstrable interest, in applying data science techniques to large datasets
Strong analytical and problem-solving skills, with the ability to interpret data and generate insights
Good communication and stakeholder skills, with the ability to explain technical work clearly
Ability to work collaboratively as part of a wider team and contribute to shared outcomes
A numerate degree in Mathematics, Statistics, or a related subject
Desirable: Familiarity with insurance or pricing concepts
Desirable: Exposure to tools such as WTW Radar

Motor Data Scientist

Key skills