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We’re looking for an experienced Data Scientist to join our Tools and Workflows team at Bolt. You’ll help us improve customer support by building systems that automate issue handling, support agents in their daily work, and forecast support demand across all our markets.

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<gh-about-us>
<title>About us</title>

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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!

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<title>About the role</title>

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Tools & Workflows (T&W) team is responsible for optimising different workflows in Bolt. The data science projects inside the T&W team span from developing models to be able to classify users’ issues and intents, building tooling to improve support agent efficiency and effectiveness, and creating intelligent chatbots capable of providing instant, automated resolutions to customer issues.

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<title>Main tasks and responsibilities:</title>

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• <point>Collaborate with cross-functional teams (Data Analysts, Engineers, Product Managers, Operations, etc.) to deeply understand business challenges and deliver impactful data science solutions.</point>
• <point>Solving real-world problems by building applications using deep learning, gradient-boosted trees, Large Language Models (LLMs), time series modelling, and other advanced techniques.</point>
• <point>Handling the entire lifecycle from exploratory queries and notebook prototypes to a working machine learning model or other automation that might be serving thousands of calls per second in production.</point>
• <point>Work across a modern data stack including Python, SQL, Spark, Presto, Docker, SageMaker, and Airflow, plus internal tooling for ML training and inference.</point>
• <point>Validate and optimize solutions using Bolt’s in-house AB testing platform, ensuring measurable impact at scale.</point>
• <point>Contribute to the broader data science community at Bolt through peer review, shared tooling, and open knowledge exchange.</point>

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<gh-requirements>

<title>About you:</title>

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• <point> You have 3+ years of experience in Data Science and Machine Learning, ideally in a product or operational setting at a technology company.</point>
• <point> You are fluent in Python (e.g., Pandas, NumPy, scikit-learn) and proficient in SQL, capable of working with large-scale data and complex workflows.</point>
• <point> Hands-on experience in NLP – text classification, embeddings, transformers, chatbot development, with Large Language Models (LLMs), or experience in Forecasting and Time Series Modeling.</point>
• <point>You have a proactive mindset, a willingness to take initiative and work with little supervision, and enthusiasm for collaborating with different roles in product, analytics, and engineering to identify problems, explore trends, and discover growth opportunities.</point> 
• <point>You communicate effectively in English and can clearly articulate data-driven insights to both technical and non-technical collaborators. </point>
• <point>You’ve built and deployed production ML systems, including model monitoring, scaling, and impact evaluation.</point>

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<title>Why you’ll love it here:</title>

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• <point>Play a direct role in shaping the future of mobility.</point>
• <point>Impact millions of customers and partners in 600+ cities across 50+ countries.</point>
• <point>Work in fast-moving autonomous teams with some of the smartest people in the world.</point>
• <point>Accelerate your professional growth with unique career opportunities.</point>
• <point>Get a rewarding salary and stock option package that lets you focus on doing your best work.</point>
• <point>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.</point>
• <point>Take care of your physical and mental health with our wellness perks.</point>

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<text>*Some perks may differ depending on your location and role.</text>
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