Senior Data Scientist, Rides Safety

We’re looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from user screening tooling and telemetry anomaly detection to behaviour factors predictions. If you're excited about applying machine learning and automated decision-making tools to real-world mobility challenges, you’ll find plenty of impactful work here.

### Main tasks and responsibilities: - Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems). - Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs. - Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience). - Lead the data science and ML-first approach to safety and risk management in the company. - Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

### About you: - Strong ownership mindset and comfort working autonomously from problem research to model deployment. - 3+ years of experience in machine learning for automated decision making. - Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems. - Mastery in Python and SQL. - Skilled at communication with cross-functional stakeholders. - Experience is valuable, but what we really look for is drive, intelligence, and integrity — so if you don’t tick every box, apply anyway.

Bolt is a leading mobility platform operating in Europe and Africa, offering ride-hailing, food delivery, and other on-demand services. They are actively hiring for various roles to expand their operations.