We’re hiring a Senior Data Analytics Manager, Applied Marketing Measurements to lead the function that powers measurement, experimentation, and targeting across all of Bolt Marketing, from Performance and Brand to Lifecycle CRM. This role is your opportunity to shape how we drive measurable impact across 300+ markets and 100M+ users.

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!

You’ll lead a team of senior analytics experts responsible for developing the frameworks and tooling that enable Bolt’s marketing analytics and operational teams to make the best decisions every day, rom at-scale customer targeting to multi-million euro investments in advertising and branded campaigns. This is a global, cross-functional leadership role with high visibility and ownership. You’ll collaborate closely with leaders across Marketing, Product, and Data.

• Lead a team of 3–5 Senior/Lead Data Analysts covering Performance, Brand, and CRM Marketing domains.

• Own strategy and implementation of frameworks for causal inference, segmentation, uplift modeling, experimentation, and other similar areas.

• Drive the measurement roadmap with internal and external stakeholders (Directors to SVPs of Bolt departments).

• Build internal tools and models that enable scalable personalization and accurate marketing measurement.

• Partner with internal teams and external vendors (e.g. Google, Meta, Braze) to shape tooling and playbooks.

• Ensure methodological excellence and operational efficiency across hundreds of campaigns and millions of communications.

• 5+ years of experience in analytics, data science, or experimentation, ideally in a large tech environment.
• MSc in Mathematics, Economics, Statistics, or other quantitative fields.
• Strong hands-on skills in SQL and either Python or R; deep understanding of statistical inference methods.
• Proven leadership experience managing technically strong analysts or data scientists.
• Excellent verbal and written communication skills, English fluency.
• Bonus if you have a PhD in quantitative field, research experience, or prior work experience with marketing or customer analytics.

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• 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 2 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.

 
We are looking for an ambitious Data Scientist to join our Fraud and Payments team and help us convert every order across all of our business lines by detecting potential fraudulent behaviour and optimizing the payment lifecycle.
 

 
 
With over 200 million users 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, national origin, age, or ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 
You’ll be working in the Fraud and Payments team, which is responsible for processing 1% of all card transactions in Europe. This team is a cross functional team consisting of product managers, data analysts, software engineers and data scientists. Our engines inspect every order across all of our business lines to detect potential fraudulent behaviour and optimize the payment lifecycle - preventing financial losses due to fraud, optimizing payment costs and helping our users to successfully complete their payments. 
 

 

• Working with a technical stack consisting of Python, Docker, SageMaker, Airflow and Databricks
• Building and improving fraud prediction models using different predictive approaches
• Exploring techniques that can improve the way we manage payments, including Causal and Reinforcement Learning
• Handling the entire lifecycle from project conceptualization and notebook prototyping to productizing and maintaining a machine learning based solution or other automation that might be serving hundreds of millions of users in production
• Leveraging our in-house data and model platform that allows you to launch new projects in a matter of days
• Deploying and A/B testing solutions for millions of users, enabling fast feedback and measurable added value to customers

 

• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
• Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap growth opportunities
• Passion for continuous learning and a collaborative mindset, valuing open technical discussions and peer-to-peer knowledge sharing
• Mastery in Python and SQL
• Previous experience in fraud detection, payment optimization or related financial services is a plus
• Strong academic background in a quantitative field

 
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!
 

 

• 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.