Data Science Summer Internship

HousingAnywhere Published: May 8, 2019
Rotterdam, Netherlands
Job Type


Who we are? is the global booking platform for mid-term rental accommodation. Being a peer-to-peer marketplace, we create an experience that satisfies both sides of the rental accommodation market and creates a direct connection between tenants and landlords. is active in 100 countries and 400+ cities. We have partnered with 160+ universities worldwide and currently target the international student market while we are expanding to other audiences as well.

Are you looking for an internship in a fast growing start-up? Did you study abroad and fell in love with the international environment? Do you like dynamic challenges?

We value strong Data Scientist Interns who are agile enough to jump into most projects, collaborating with a variety of teams: engineering, product management, and senior stakeholders who rely on our data scientists to translate insights into actionable product improvements.

Time period

  • Start date: ASAP
  • Duration: 3-4 months
  • 40 hours per week

Mentorship, reviews and feedback: Managers serve as mentors throughout the internship period. Interns receive two performance check-ins with manager (at mid-point and at end of project) so that interns can receive feedback designed to foster growth and development.

What can I expect during my internship?

Sample projects that Data Science interns might work on are:

  • Validate assumptions brought forward by the product team or other stakeholders using product data analysis
  • Work and validate models for suggesting similar rooms/apartments based on the user's shown preferences and actions on other listings
  • Development of supervised and unsupervised models for online risk mitigation.
  • Research models using natural language processing to filter out bad actors on HousingAnywhere's platform
  • Investigate models and features to improve the search ranking algorithm, for example by personalizing results based on the user’s inferred preferences.
Skills and Qualifications we look for in a Data Scientist Intern:

  • Strong analytical fundamentals: Must be currently pursuing a Bachelor’s, Master’s or Doctoral degree. Preferred field of study is data science or computer science with major in data science.
  • Tools: Experience using SQL and Python, R is optional and not a requirement.
  • Product sense: Ability to connect your analysis to real world phenomena, always thinking about how insights from the data can be used to improve HousingAnywhere.
  • Communication: Demonstrated ability to distill and share complex technical concepts to a less technical audience.
  • Language: Fluency in English as the main language you will use at work is English.
Very Important!

How the internship allowance works:

Minimum of 3-4 months internship: The internship allowance is €250.- net per month.

Cool things:

  • Join a dynamic and quickly growing startup -- enjoy the startup atmosphere with low hierarchies and early responsibilities. This is the ideal learning environment for you if you already are or are thinking about becoming an entrepreneur. Even if your aim is “just” to make a good career, our growing team is looking today for the leader of tomorrow.
  • Our team consists of over 80+ people, with 25+ nationalities. with most people in our office aged between 20-30 years old. Having this experience of working in an international work environment will be a good element to have on your CV.
  • You get to work in the amazing city of Rotterdam in an office with an amazing view! If you're looking for a city that is always packed with new things to discover, amazing architecture, a strong international community, this is the perfect place for you! On top of this, you are one train ride away from Amsterdam and The Hague!
  • Friday Beers & Cheers! Get to know your colleagues over drinks while we celebrate our achievements every end of the week!
  • If you like working with us, and we like working with you, we might offer you a full-time contract after your internship!


  • Send an email to Claire @

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