
Data Scientist
- London
- Permanent
- Full-time
- Explore & analyse large telematics, policy and quote datasets to uncover trends and opportunities
- Build and validate statistical & machine learning models that power pricing and risk selection
- Collaborate with Engineering, Actuarial and Product to frame business problems and productionise models
- Communicate insights clearly through dashboards, visualisations and storytelling
- Contribute to best practice in code review, experimentation and shaping our ways of working as you grow
- Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field
- Experience: At least 3 years proven experience as a Data Scientist
- Technical Skills:
- Python Proficiency: Strong Python programming skills, with experience in training predictive models. Familiarity with data science libraries such as pandas and scikit-learn
- SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake
- Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms
- Data Tools: Familiarity with cloud-based data platforms (we’re on AWS) and data visualisation tools (Looker, matplotlib, seaborn)
- Software Engineering:
- Experience with version control systems (e.g., Git) and software development best practices in a data-intensive environment
- Care about documentation and reproducibility
- Soft Skills:
- Curiosity and a problem-solving mindset
- Excellent communication skills, with a proven ability to present complex information in a clear, accessible way
- Experience with CI/CD pipelines (we use buildkite and argoCD)
- Hands-on experience with insurance pricing tools like Akur8, Emblem or similar pricing modelling tools
- Exposure to telematics or usage-based insurance data
- Experience with time series analysis and/or graph technologies
We are sorry but this recruiter does not accept applications from abroad.