Data Scientist

Bolt is shaping a future where cities are built for people, not cars. What started as an ambitious project of a 19-year-old in 2013 has grown into a global mobility platform used by more than 200 million customers and 4.5 million driver and courier partners across 50 countries.

From ride-hailing and food delivery to scooters, e-bikes, and car-sharing, Bolt helps people move through cities every day. Small, autonomous teams drive this work, combining the speed and ownership of a startup with the scale of a global technology company backed by more than €1bn in funding.

And we're just getting started.

Why join Bolt?

• Build the future of mobility and help transform how people live and move in cities.
• Tackle challenges at scale that span technology, operations, regulation, and growth.
• Take real ownership early. Small, lean teams mean your decisions matter from day one, and you'll learn fast alongside some of the best people in the industry.
• Join one of Europe's leading technology companies, backed by world-class investors including Sequoia.

You'll work end-to-end on data science problems that directly influence Bolt's marketplace - with millions of customers daily across 50+ countries. Your work will range from exploratory analysis and experiment design to building, deploying, and monitoring predictive models in production. You'll identify opportunities through data, validate them through rigorous experiments, and take solutions from research to real-world impact. This is a high-ownership role embedded in a cross-functional product team: you'll partner closely with engineers, product managers, and operations to make sure insights don't stop at a slide deck.

Main Tasks And Responsibilities

• Identify, research, and prioritise analytical and modelling opportunities - forming hypotheses, scoping the right approach, and driving work through to a decision or shipped solution.
• Build, deploy, and monitor data science solutions across the spectrum: from statistical analyses and dashboards to classical ML models and automated decision systems.
• Design and run large-scale experiments to validate product and business hypotheses, and communicate results clearly to stakeholders who act on them.
• Develop data products and frameworks that improve how product and operations teams make decisions - reducing dependency on one-off analysis requests.
• Partner with Product, Engineering, and Operations to identify opportunities and develop pragmatic solutions that solve intricate business problems.

• Experience in data science or applied ML in an industry setting - what you’ve shipped matters more than how many years it took
• Ownership mindset - you're comfortable driving a problem from initial exploration through to a shipped outcome, with limited hand-holding.
• Foundational knowledge of statistics and experimentation - you understand how to test an idea with data and interpret what the results actually mean.
• Proficiency in Python and SQL.
• Clear communicator: you can explain a model's logic to an engineer and its business implication to a product manager in the same conversation.

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

At Bolt, using AI daily is a baseline expectation for everyone. If there’s a faster, smarter way to do your work, we expect you to find it. You’re still responsible for the output, so the standard stays high when using AI tools.

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!

Everyone is welcome

Bolt is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where all qualified applicants are considered for employment without regard to race, colour, nationality, religion, gender or gender identity, sexual orientation, age, or disability.

We welcome applications from all backgrounds and are happy to make reasonable accommodations throughout our hiring process. If you require any adjustments, please let us know.