Data Scientist, Robotaxi Performance & Capability

Highlights

• Turn real-world driving data into evidence of driverless Robotaxi readiness.
• Define metrics for the full Robotaxi experience from pickup to recovery.
• Investigate safety-critical interventions and stuck scenarios in the wild.

What they offer

• Meaningful equity sharing in long-term success
• Learning and development budget for training and conferences
• Comprehensive health insurance, dental and wellbeing support
• Enhanced maternity and paternity leave and pension
• Relocation support where applicable

Ideal candidate

Analytical systems thinker who loves turning messy real-world driving data into clear evidence, thrives with ambiguity and ownership, and wants to shape safe driverless Robotaxi service.

Requirements

• At least three years of relevant experience in data science, automotive data analysis or related field
• Hands-on with Python, SQL, statistical analysis and tools for exploring and visualising large datasets
• Able to turn ambiguous real-world problems into measurable questions, KPIs and analytical approaches
• Experience analysing complex systems and translating findings into product or engineering improvements
• Understanding of statistical confidence, rare-event analysis, performance distributions and trends
• Comfortable working independently with incomplete data and refining approach as evidence emerges
• Clear communicator with engineering, product and leadership stakeholders