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.

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 with production-grade code.
Solid skills in Python and SQL, including standard libraries such as Polars, Scipy, NumPy, Scikit-Learn.
Experience building or maintaining reliable and maintainable data pipelines and tools.
Clear communication skills to break down problems into testable hypotheses and collaborate in multi-disciplinary teams.
A growth mindset: curious, eager to learn from senior peers, and open to feedback.

Exposure to noisy, high-frequency, or time-series sensor data (e.g., GPS, accelerometer).
Familiarity with digital signal processing or sensor physics principles.
Experience 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.

Market-competitive salary, reviewed annually.
Annual performance bonus linked to company performance and individual contribution.
Share options providing a stake in the company’s future.
Private medical insurance.
Pension, generous holiday, and £1,000 per year for commuting or learning expenses.
Cutting-edge systems and tools to support your impact.