<gh-intro>
<text>

We’re looking for an experienced Data Scientist to join our Rentals Pricing team, which powers Bolt’s micromobility and car-sharing (Bolt Drive) products.

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

<text>

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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</gh-about-us>

<gh-role-detail>

<title>About the role</title>

<text>

You will tackle challenges such as:

modelling the interaction of different price modalities
estimating long-term effects of price changes
the dynamic discounting of rides to increase utilisation

Your work will include building automated exploration pipelines, estimating price elasticities, and solving optimization problems. You'll apply predictive modelling and causal inference to measure the impact of pricing changes and to guide strategy. Your work will have a direct effect on revenue growth and user experience.

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<gh-responsibilities>

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

<point>Own the development lifecycle for ML solutions – from notebook prototypes to deployment and automation.</point>
<point>Collaborate with analysts, engineers, product managers, and operations specialists.</point>
<point>Deploy models using our ML platform, working with a toolkit including Python, Spark, Docker, Airflow.</point>
<point>Validate your solutions’ impact via experiments.</point>

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</gh-responsibilities>

<gh-requirements>

<title>About you:</title>

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

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<text>

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!
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</gh-requirements>

<gh-perks>

<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 3 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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#LI-Hybrid

Data Scientist, Rentals