Lead Data Scientist - Telematics

Stack

Responsibilities

• ▹Work with raw, high-frequency sensor data (GPS, accelerometer, gyroscope) at scale, processing more than 250k trips per day
• ▹Research new behavioural features and detection algorithms
• ▹Design and build behavioural features and factors that feed the understanding of driving quality, context, and risk
• ▹Take ideas from hypothesis to production: prototyping in notebooks, then writing production-grade Python and SQL
• ▹Prioritise simple, robust solutions, rule-based when sufficient, ML when warranted
• ▹Lead experiments, validate impact with data, and automate insight generation
• ▹Collaborate with software engineers, product managers, and actuaries to get features into the pricing path and measure their effect
• ▹Translate complex sensor data into clear findings for non-technical stakeholders

Requirements

• ▹MSc (or integrated MEng/MSc) in a quantitative field: Engineering, Computer Science, Physics, Mathematics, or similar
• ▹Working knowledge of digital signal processing or sensor physics, reasoning about noise, sampling, filtering, and signal meaning
• ▹Proven track record delivering data science or data engineering projects into production
• ▹Strong Python and SQL (Snowflake)
• ▹Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn
• ▹Experience developing and evaluating ML models on tabular data (classification or regression)
• ▹Experience designing, building, and maintaining data pipelines from scratch, reliably and at scale
• ▹Fluent with AI coding assistants (e.g. Claude Code) as part of daily engineering work
• ▹Strong communicator

Soft skills

About the company

Since 2016, Zego has been working to offer fairer insurance, priced on how people drive rather than who they are, and to make roads safer. Its Telematics team turns raw phone sensor data into meaningful driving-behaviour signals, collaborating daily with engineering, product, and actuarial colleagues across the UK and Portugal.