> Markdown version of [/jobs/ext/3238382-telematics-data-scientist](https://www.wearedevelopers.com/jobs/ext/3238382-telematics-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Telematics Data Scientist - **Company:** Zego - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Cloud Computing, Global Positioning Systems (GPS), Python (Programming Language), Machine Learning, NumPy, SciPy, Spatial Data Infrastructures, SQL Databases, Deep Learning, Scikit Learn, Information Technology, Production Code, Data Pipelines, Docker - **Published:** September 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6ff236a6dfacd0bf ## About the Role * 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. You're comfortable writing production-grade code, not just notebooks. * 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. Nice to Have * Exposure to noisy, high-frequency, or time-series sensor data (e.g., GPS, accelerometer). * Familiarity with digital signal processing or sensor physics principles. * Familiarity with cloud platforms (e.g., AWS) and tools like Docker or basic pipeline orchestration. * Background or interest in insurance, mobile telemetry, or behavioural modeling. * Experience applying Deep Learning models to time-series data. ## Description 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. What you will be doing * 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., Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our office (central London or Halifax) weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it. We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Vectorize all the things! 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