Description
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.
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.
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. 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.
Benefits
- Market-competitive salary, benchmarked against your function and reviewed every year.
- Annual performance bonus, linked to company performance and your contribution.
- Share options, a real stake in the company and a share in the future you build.
- Private medical insurance.
- Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.
- Cutting-edge systems and tools, so you always have what you need to drive your impact.