Data Science, Marketing Intelligence
Required language


Do you dream of working for one of the global leaders in data science & media, but you still have to complete your studies? You’ve come to the right place. We offer econometrics / operations research / mathematics students the possibility to write their MSc thesis on an applied topic in the field of media while simultaneously working in a data science team on actual client projects.

Do you want to kick-start your career as a data scientist? And are you passionate about data and modeling? Join our data science team!

Who are we?
We are a team of over 25 data scientists, all with a strong analytical background, working in the landscape of media analytics. Our goal is to provide the best solutions to major clients all around the globe. As a young and international team, we are continuously working on improving both our hard and soft skills, and are always on the lookout for new talent.

Our team has several spots for thesis internships open every year. During an internship, you will work as a Junior Data Scientist in one of our client project teams that help brands in their media evaluation using advanced statistical techniques, such as Bayesian regression modeling. Together with your project team you will translate the modeling results into insights and recommendations for the client.

What is the role?
You will be writing your MSc thesis with us for three days a week, while you’ll spend the other two days a week working in one of our client project teams on:

  • Processing, analyzing and modeling data from various sources within a small project team working towards a client delivery
  • Making decisions about data, methodology, and modeling within a project to ensure the quality of the outcomes, and discuss progress and issues with the project leads
  • Contributing to technical improvements of existing solutions

What are the requirements?

  • Currently enrolled in a Master in Econometrics, Mathematics, or other quantitative MSc
  • Some experience in Python and/or R programming
  • Some experience with regression and classification models
  • Good command in spoken and written English
  • Available for 40 hours a week
  • Available for a period of (at least) 7 months
  • Residing in the Netherlands

Why do I want to work here?

  • Competitive salary and benefits
  • 14 days of paid leave
  • Reimbursement of travel expenses
  • Hybrid work; you choose how often you want to work from the office vs home
  • Personal and professional development opportunities, regular check-ins with your personal manager, and the option of joining internal training sessions
  • Access to Nielsen’s own learning platform and data science course library
  • An open and international atmosphere, in terms of colleagues, clients & overall mindset
  • A wide set of year-round organized social events, both team wide and office wide
  • An informal office culture, with e.g. table football & table tennis, and frequently occurring drinks
  • The possibility to spend 24 working hours on (local) volunteering, for instance during our Annual Nielsen volunteering day
  • Opportunity to join one of Nielsen’s business resource group and focus on driving diversity, equity and inclusion
  • Exposure to a large range of other Nielsen initiatives, such as our peer-to-peer recognition program, mentoring program, trivia, book clubs, virtual yoga classes, and many more!

Unfortunately, we do not have a direct position open right now, but we expect to have more open positions later in the year. Keep an eye out for the link on this page, and if you have any questions please do not hesitate to reach out to us at

Back to top