Lead Data Scientist - Telematics
Core
Build driving intelligence from raw phone sensor data (GPS, accelerometer, gyroscope) to power fairer, behavior-based insurance pricing.
Role type
Lead Data Scientist (Telematics & Signal Processing)
Builds
Production-grade behavioral features, detection algorithms, and risk signals for commercial motor insurance.
Domain
Insurance / Telematics / Digital Signal Processing
Deliverable
production ML models
Required skills
Digital signal processing, sensor physics, Python, SQL, ML model evaluation, data pipeline design, AI coding assistants
Preferred skills
High-frequency sensor data experience, insurance domain knowledge, cloud platforms (AWS), containerization (Docker, Kubernetes)
Technologies
Python, SQL, Snowflake, Polars, Pandas, NumPy, SciPy, scikit-learn, MLflow, DVC, Streamlit
Responsibilities
Process high-frequency noisy sensor data at scale; research and design behavioral features and detection algorithms; ship code from hypothesis to production; collaborate with engineering, product, and actuarial teams; validate impact of features on real policies.
Seniority
Senior, hands-on IC with leadership responsibilities
