Lead Data Scientist - Telematics

Salary: £40,000 - 60,000 per year

Requirements:

• MSc (or integrated MEng/MSc) in a quantitative field such as Engineering, Computer Science, Physics, Mathematics, or similar.
• Working knowledge of digital signal processing or sensor physics.
• Proven track record delivering data science or data engineering projects into production.
• Strong Python and SQL skills; we use Snowflake.
• Comfortable with the scientific Python stack, including Polars, Pandas, NumPy, SciPy, and scikit-learn.
• Experience developing and evaluating machine learning models on tabular data classification or regression tasks.
• Experience designing, building, and maintaining data pipelines from scratch.
• Fluent with AI coding assistants as part of daily engineering work.
• Strong communication skills, with the ability to translate ambiguous problems into structured, testable ideas and explain insights clearly.
• Growth mindset, with curiosity, openness to feedback, and a drive to keep improving.
• We work AI-first; you will use AI daily and should be comfortable experimenting quickly and taking ownership.
• Nice to have: experience applying signal processing to noisy, high-frequency sensor or time-series data.
• Nice to have: exposure to insurance, mobile data, or behaviour modelling.
• Nice to have: experience with AWS, Docker, Kubernetes, or data orchestration frameworks.
• Nice to have: familiarity with MLflow, DVC, and Streamlit.

Responsibilities:

• Work with raw, high-frequency sensor data such as GPS, accelerometer, and gyroscope data at scale.
• Research new behavioural features and detection algorithms by reading literature, testing ideas, and validating them against real data.
• Design and build behavioural features and factors that support our understanding of driving quality, context, and risk.
• Take ideas from hypothesis to production, including prototyping in notebooks and writing production-grade Python and SQL.
• Prioritise simple, robust solutions, using rule-based approaches when appropriate and machine learning when warranted.
• Lead experiments, validate impact with data, and automate insight generation.
• Collaborate closely with software engineers, product managers, and actuaries to get features into the pricing path and measure their effect on policies.
• Translate complex sensor data into clear findings that non-technical stakeholders can act on.
• Shape how millions of trips are turned into risk signals as a Lead Data Scientist.
• Own behavioural features and algorithms from hypothesis to production.
• Work at the intersection of data science and engineering on GPS, inertial, and other sensor data.

Technologies:

• AI
• AWS
• Claude Code
• Docker
• Figma
• Support
• Kubernetes
• Machine Learning
• MLflow
• Mobile
• Python
• SQL
• Snowflake
• Zapier
• numpy
• pandas
• Cloud
• Data Warehouse
• Marketing

More:

We are Zego, an insurance company leading the AI evolution in insurance and building fairer, data-driven products based on how people drive. Our Telematics Data Science team turns raw phone sensor data into behavioural signals that power driving quality, context, and risk models. We work across the UK and Portugal as one team, with the same scope, ownership, and progression, and collaborate daily with engineering, product, and actuarial colleagues. We operate with an AI-first, high-ownership culture, using a modern tech stack including Claude Code, Snowflake, Figma, and Zapier. We offer a market-competitive salary, annual performance bonus, share options, private medical insurance for you and your family, pension, generous holiday, and an annual allowance for commuting or learning. We work in a hybrid model with time in our central London office and regular team and company gatherings. We are an equal opportunity employer and value diversity.

last updated 37 week of 2026