Lead Data Scientist - Telematics
Core
Transform raw high-frequency phone sensor data (GPS, accelerometer, gyroscope) into behavioral features and risk signals for commercial motor insurance pricing.
Role type
Lead Data Scientist (Telematics)
Builds
Production-grade behavioral features, detection algorithms, and ML models for driving quality and risk assessment.
Domain
Insurance / Telematics / Signal Processing
Deliverable
production ML models | product features
Required skills
Digital signal processing, Python, SQL, ML model evaluation, data pipeline design, hypothesis testing, AI coding assistants
Preferred skills
High-frequency sensor data experience, cloud platforms, containerization, experiment tracking tools
Technologies
Python, SQL, Snowflake, Polars, Pandas, NumPy, SciPy, scikit-learn, MLflow, DVC, Streamlit, AWS, Docker, Kubernetes
Responsibilities
Process high-frequency sensor data at scale, research and design behavioral features, build production-grade code, lead experiments and validate impact, collaborate with engineering and actuarial teams, translate complex findings for stakeholders
Seniority
Lead, hands-on IC with mentorship