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Stuart is a leading tech-enabled logistics platform that transforms on-demand delivery across sectors like food, grocery, and retail. Operating in over 130 cities across Europe, Stuart connects businesses with a network of independent couriers...

Stuart is a leading tech-enabled logistics platform that transforms on-demand delivery across sectors like food, grocery, and retail. Operating in over 130 cities across Europe, Stuart connects businesses with a network of independent couriers, providing access to fast, flexible, and efficient deliveries.



Our Mission

We are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient and reliable. We are committed to creating a new standard for urban deliveries that meet today’s environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience. Stuart is a highly diverse and inclusive company of 240+ employees from different nationalities and backgrounds working across France 🇫🇷, Poland 🇵🇱, Spain 🇪🇸 and the UK.


It’s the right moment and the right place for us to make an impact on millions of people, as home delivery services hit a record high. And guess what? You can help us fulfil our vision



📆 Start Date: Flexible, ideally starting from March/April 2025

Duration: Full-time for 6 months (hybrid work mode - 3 days a week in the office in Barcelona)



What You’ll Work On 🎯

This internship is all about using data science to drive real-world impact. You’ll be working on tasks that directly influence Stuart’s operations and strategy, including:

🔹 Incentive Optimization: Developing real-time predictive models to guide drivers to high-demand areas while keeping costs in check.

🔹 Experimentation at Scale: Improving and scaling Stuart’s A/B testing and experimentation capabilities to empower teams with better insights.

🔹 Scaling Data Science Solutions: Helping integrate models into production, working closely with Data Scientists, ML Engineers, and Product teams.


What You’ll Bring 🧠

  • Currently studying (or recently graduated) in Mathematics, Physics, Data Science, Computer Science, or a related field.
  • Strong skills in Python, SQL, and data analysis. Experience with ML frameworks is a plus!
  • Excited about solving problems and working with large datasets.
  • A curious mind, a problem-solving attitude, the ability to work in a fast-moving tech environment, strong communication skills, and a collaborative mindset to effectively contribute to team efforts.


The stuff you wanna know 😉

  • Lunch Allowance by Edenred (€11 per worked day)🍴
  • Wellness benefit (Gym and Juno - up to 40 eur/month) 🤾🏽♂️
  • Team building events 🎉
  • Stuart Academy with regular workshops, Stu-Classes, and Stu-Talks 🎓
  • Time off for your exams and university scheduled activities👨🎓
  • Work in an international, dynamic and passionate environment with a company culture focused on learning and development 🎉


Why Join Us?

✨ Hands-on experience solving impactful data science challenges.

📈 Mentorship from experienced Data Scientists and Engineers.

🌍 An international & dynamic team in a fast-growing company.

🍕 Office snacks, team events, and a fun work environment!


At Stuart, we believe that employees today want to evolve in collaborative, high-growth environments where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their company’s culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning and growth where everyone can bring expertise, own projects and easily measure the


ir impact 🙌

Stuart is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status 💙


Please note: Our Talent Acquisition Team is international coming from across the world 🌍 We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly (unless the job posting is in a language other than English). Thank you 🤗

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