We’re looking for an experienced Data Scientist to join our Rentals team, which powers Bolt’s micromobility and car-sharing (Bolt Drive) products. This team builds smart, data-driven systems that improve how our vehicles are priced, positioned, and maintained across cities.

If you're excited about applying machine learning to real-world mobility challenges — from predicting demand to using sensor data to improve safety — you’ll find plenty of impactful work here.

About us

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

About the role

You’ll work closely with Bolt’s micromobility and car-sharing teams to build models that directly influence how our services operate across cities. The Rentals Data Science team solves a variety of challenges — from forecasting marketplace demand to support pricing decisions, to dynamically adjusting prices based on real-time conditions. You’ll also contribute to optimising how we deploy, rebalance, and charge our vehicles, ensuring the right vehicles are in the right places at the right times. Additionally, the role involves working with telemetry and vision data from our vehicles to enhance safety and performance. This is a highly impactful role where you’ll take machine learning solutions from prototype to production and see your work improve the experience of millions of users.

Main tasks and responsibilities:

• Own the development lifecycle for ML solutions – from notebook prototypes to deployment and automation.
• Collaborate with analysts, engineers, product managers, and operations specialists.
• Deploy models using our ML platform, working with a toolkit including Python, Spark, Docker, Airflow.
• Solve real world problems such as: marketplace forecasting; optimising fleet operations; building the next generation of smart vehicles with computer vision.
• Validate your solutions’ impact via experiments.

About you:

• Industry experience in Machine Learning (3+ years recommended), ideally in product development within a technology-focused company.
• Proficient in Python, writing complex queries in SQL or PySpark, training classical ML models, and ideally some experience with a deep learning framework like PyTorch.
• Adaptable, willing to work on a variety of tasks (we’re a small team, so we have to wear multiple hats).
• Proactive, able to work with minimal supervision.
• Hands-on experience building ML systems end-to-end – including testing, monitoring, scaling, and measuring impact through hypothesis testing.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

Why you’ll love it here:

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location and role.

#LI-Hybrid