Lead Data Scientist - Telematics

In this Senior Data Scientist role, you shape how millions of trips are converted into risk signals from raw, high-frequency sensor data. You own behavioural features and detection algorithms from idea to production, merging data science with engineering. You balance quick heuristics with scalable ML models, shipping code that runs in production rather than notebooks. You collaborate with software engineers, product managers, and actuaries to drive pricing that reflects driving behavior. This is a hands-on, impact-focused role with a clear path to influence pricing and risk assessment at scale.

• market-competitive salary
• private medical insurance
• company share options
• generous holiday allowance
• wellbeing benefits
• annual flexible hybrid working contribution

• Process noisy, high-frequency sensor data (GPS, accelerometer, gyroscope) at scale (>250k trips/day)
• Prototype and evaluate behavioural features and detection algorithms from literature to production
• Design and build features that inform driving quality, context, and risk
• Translate ideas from experiments to production-grade Python and SQL pipelines
• Prioritize robust, simple solutions; apply ML when warranted
• Lead experiments, quantify impact, and automate insight generation
• Collaborate with engineers, product managers, and actuaries to deploy features in pricing
• Communicate complex sensor findings to technical and non-technical stakeholders

• MSc in a quantitative field
• Strong engineering foundations with digital signal processing or sensor physics knowledge
• Proven track record delivering DS or data engineering projects into production
• Production-grade Python and SQL experience
• Strong Python and SQL (Snowflake) skills; comfort with SciPy stack (Polars, Pandas, NumPy, SciPy, scikit-learn)
• Experience building and evaluating ML models on tabular data (classification/regression)
• Designed and maintained end-to-end data pipelines (reliable, observable, scalable)
• Familiar with AI coding assistants (Claude Code) in daily engineering work
• Strong communication; ability to translate problems and insights for diverse audiences
• Growth mindset; openness to feedback and continuous improvement

• strong communication
• collaboration across cross-functional teams
• problem solving with a growth mindset
• Python
• SQL
• Snowflake