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Data Science Intern A great way to kickstart your career

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How do you make our customers happy?

Do you have an unsatisfiable appetite for data?

Can you explain complicated models in a simple way, and do you have a passion for data? Then Data Science at is the right place for you! Within a multi-disciplinary team (with data scientists, engineers, advanced analysts and product owners), you will tackle one of our many challenges. As part of this team you get the chance to join in their day-to-day processes. Besides your own project there is also room to work on tasks within this team which directly improve for our customers. You will work together with professionals who love to share their knowledge, allowing you to learn the ins and outs of the fast-growing market we’re in. And if your work is a success, it will be deployed, which means that your innovation will become part of our platform. In the meantime, there will be plenty of opportunities to get to know your colleagues: with a good cup of coffee or at our Friday drinks. No better way to kickstart your career.

Your responsibilities as a Data Science Intern

  • Be part of one of’s Data Science teams.
  • Work with immense amounts of data.
  • Develop a model-based solution to a real problem within e-commerce.
  • Present your results.

As a Data Science intern, you will work on one of the many complex challenges within By crunching our many terabytes of data, you will investigate how this information can be used to improve our processes. Being technically well-versed is an absolute must to succeed. Together with your supervisor you will find a structural solution and a fast way to test its feasibility. You will fill one of our multiple positions in the domains: Search, Content, Assortment & Pricing, Forecasting or Personalization & Recommendations. You will not only have the chance to use state of the art models, but you will also be challenged on building your own solution and bring them live. We pay a lot of attention to the effective translation of results to concrete actions, implementations and/or recommendations during your internship. This will allow you to cover the complete process from challenge to solution.

What you bring along

  • Preferably you study Computer Science, Mathematics, AI, Econometrics or are enrolled in a comparable degree program.
  • Knowledge of regression/machine learning methods.
  • Experience with programming (in Python, R).
  • Available for 4 or 5 days a week and at least 3 months.

Note: For all of our internships, you have to be enrolled at an educational institution for the complete duration of the internship at

Please let us know when you would like to start your (thesis) internship, for which duration and for how many days a week you are looking for an internship.


Where you’ll work

What you get

What you get

  • The campus

    An open and inspiring work environment, with creative open spaces, meeting rooms and silent areas, as our library. But we also offer possibilities to work out in our gym, ping-pong table or our soccer field and game room. Want to recharge? Go to our massage chairs.

How it works

  1. Your application
    Carefully, we take a look at your application. Within 2 weeks you know if we invite you for an interview.
  2. First contact
    We call you to set up an interview. And since we’re already talking: feel free to ask any question you may have.
  3. First date
    In this first interview we’ll get to know each other. We want to find out more about you. Work experience is interesting, but we also want to find out more about you as a person. Together, we’ll find out if this job is a match made in heaven.
  4. Your next interview
    Before the next interview we will ask you to take an online assessment. We’ll also discuss the position and your team in depth.
  5. Is this love?
    2 interviews are usually enough to see if it’s a match. And if you agree… well, it’s the beautiful beginning of your career at :)

Any questions? Contact

Apply right away Do you want to kickstart your career @

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