Zego has recorded over a billion miles of real-world driving, captured from phone sensors (accelerometer, GPS and more) across tens of thousands of policies and four very different kinds of driving: private car, van, taxi and delivery. The Telematics team uses digital signal processing and machine learning to turn that raw signal into a precise picture of how people actually drive. We use it to price insurance more fairly, to help drivers be safer on the road, and to power Zego Rewards, everyday rewards for good driving that turn car insurance into an engaging product rather than a box to tick.
We own the full telematics stack (mobile SDK, on-device ML, cloud pipeline) and the full pricing stack. So we can link driving behaviour directly to claim type, frequency and severity, and feed one system’s predictions straight into the other. We are one of very few companies that owns that entire loop end to end, on in-house proprietary technology.
As Head of Telematics Data Science you will set the research agenda and own the technical direction of that work, reporting to the Director of Data. You will lead three data scientists directly and three ML engineers with a dotted line to you. The split is roughly 60% leading, 40% hands-on.
Our long-term ambition is driving behaviour modelling that holds up across countries and handsets, is highly predictive of claims risk, and is deeply integrated with driver coaching so we can offer the fairest price and the best experience to good drivers anywhere. Our partnership with Sompo Holdings, one of Japan’s largest insurance groups, will take models trained on UK roads into an entirely different market.
The problems you will be working on