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Telematics Data ScientistZego · London
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Zego

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Telematics Data Scientist

🗓️ Posted 2026-09-24 London Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 4,583 GBP–7,917 GBP/mo

About the Company

At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating insurance; We're leading the AI evolution in insurance. For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook. We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives. You'll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers.

About the Role

As a Data Scientist, you'll contribute to the future of behaviour-based insurance. You'll contribute to the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and help bring impactful insights into production. You'll work closely at the intersection of data science and engineering, generating scalable, real-world insights from GPS, accelerometer, and other spatial data.

Responsibilities

  • ● Build and refine behavioural features and factors from telematics data.
  • ● Develop and maintain end-to-end pipelines in Python and SQL, ranging from simple heuristics to complex machine learning models.
  • ● Build robust solutions that scale, whether rule-based or ML-driven.
  • ● Collaborate with Software Engineers, Data Scientists, and Product Managers to implement features and evaluate their impact.
  • ● Run experiments, test new ideas, and assist in automating insight generation.
  • ● Translate complex sensor data into clear insights that can shape our roadmap and product.

Requirements

  • ● MSc or BSc in a relevant field (e.g., Computer Science, Engineering, Physics, Statistics), or equivalent practical experience.
  • ● Hands-on experience developing data science or data engineering solutions.
  • ● Solid skills in Python and SQL, including standard libraries (Polars, Scipy, NumPy, Scikit-Learn).
  • ● Experience building or maintaining data pipelines and tools that are reliable and maintainable.
  • ● Clear communication skills: able to break down problems into testable hypotheses and collaborate effectively within multi-disciplinary teams.
  • ● A growth mindset: curious, eager to learn from senior peers, and open to feedback.