Senior Data Scientist – Telematics

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🕒 April 20

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Zego

201 - 500 employees

Founded 2016

🚗 Transport

💰 $150M Series C on 2021-03

Insurance • Transport

Zego is a company that provides flexible motor insurance solutions for various types of drivers and riders, including private hire taxi drivers, delivery drivers, and courier users. Zego's insurance products cover vehicles such as cars, scooters, motorbikes, and vans, and are designed to accommodate both personal and business use. Using technology such as the Sense telematics app, Zego offers personalized and potentially cheaper insurance premiums for safe drivers. The company collaborates with major delivery and ride-sharing platforms like Uber, Deliveroo, Just Eat, and Amazon Flex to offer tailored insurance options for their drivers. Zego emphasizes customer satisfaction, providing easy-to-use services via their app, and is a trusted provider for thousands of UK and European drivers.

📋 Description

• Work with raw, high-frequency sensor data: GPS, accelerometer, gyroscope, at scale • Research new behavioural features and detection algorithms • Design and build behavioural features and factors that feed Zego's understanding of driving quality • Take ideas from hypothesis to production • Prioritise simple, robust solutions • Lead experiments, validate impact with data, and automate insight generation • Collaborate closely with software engineers, product managers, and actuaries

🎯 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 • Proven track record delivering data science or data engineering projects into production • Strong Python and SQL (we use Snowflake) • Experience developing and evaluating ML models on tabular data • You've designed, built, and maintained data pipelines from scratch • Fluent with AI coding assistants as part of daily engineering work • Strong communicator: you translate ambiguous problems into structured ideas • Growth mindset: curious, open to feedback, driven to keep improving • Nice to Have: Experience applying signal processing to noisy, high-frequency sensor/time-series data in production • Exposure to insurance, mobile data, or behaviour modelling • Experience with cloud platforms, containerisation, or data orchestration frameworks

🏖️ Benefits

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

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