About this role
Salary: £40,000 - 60,000 per year
Requirements: A Masters or PhD in Data Science, Computer Science, Electrical Engineering, Physics, Mathematics or a related quantitative field, or equivalent industry research experienceDeep expertise in machine learning and deep learning, preferably with hands-on experience building and deploying models on high-frequency time-series sensor dataA strong grounding in signal processing, including signal modelling, decomposition, transforms and sensor physicsExperience leading and growing a data science team, developing people and delivering through others while staying close to the technical workStrong software engineering practice, including Python, version control, reproducible pipelines and production-ready codeExperience with large-scale data processing; we use Kafka, Spark and FlinkThe ability to explain complex technical work clearly to senior leadership, commercial teams and partners, with a bias for connecting research to business outcomesPreferably, experience with on-device or embedded ML under compute and power constraintsFamiliarity with regulated environments, or with fairness and bias in applied models, is a plusYou work AI-first, and are curious, experimental and able to take ownership of getting good quickly Responsibilities: Define and drive the technical roadmap, ensuring the team is working on the highest-impact problemsLead the development of novel models to detect human behaviour and vehicle kinematics from high-frequency phone sensor data, on-device and in the cloudAct as the primary technical authority on telematics across the business, advising on existing products, surfacing new patterns and identifying new value propositionsBuild, grow and mentor the team, setting the technical standards needed to produce exceptional workPartner with Pricing to integrate telematics predictions into risk pricing, and with Data Products and Engineering to embed telematics insight into our core productsPush our use of AI in analytics, model development and the driver coaching experiences we are buildingRepresent our telematics science to senior leadership, commercial teams and partners including SompoOwn the metrics that track real-world model impact in production, and ensure our models meet our obligations around fair pricing Technologies: AICloudEmbeddedFlinkKafkaMachine LearningPythonSparkAndroidClaude CodeData WarehouseFigmaSupportMarketingMobileSnowflakeZapier More:
We are Zego, leading the AI evolution in insurance. We move fast with a modern tech stack and use AI across teams to remove routine work and focus on impactful delivery. Our Telematics team uses digital signal processing and machine learning to turn over a billion miles of real-world driving data into fairer pricing, safer driving and Zego Rewards. We own the full telematics stack and full pricing stack, and this role reports to the Director of Data leading three data scientists and three ML engineers. We offer a Zego Hybrid working model, with time spent in our central London office on a weekly, monthly or quarterly basis, plus quarterly team gatherings and an annual whole-company event. Benefits include a market-competitive salary, annual performance bonus, share options, private medical insurance, pension, generous holiday, 1,000 a year to spend on commuting or learning, and cutting-edge systems and tools. We are an equal opportunity employer and value diversity at our company.
last updated 36 week of 2026