Data traineeship

Data traineeship

Data: it’s seen as the new gold for the coming decades. We need advanced data analysis to take better strategic decisions, improve our customer journeys and gain clearer commercial insights. Technology is evolving at lightning speed and drive of innovation has a major impact on the financial system. The time for you to join forces with us to make banking faster, easier and smarter is now. We need your talents to help make our bank future-proof!

Who are you?

  • You have an entrepreneurial spirit, creative mind-set and are capable of assessing and evaluating risks.
  • You thrive in an international context.
  • You have a recently obtained University bachelor’s degree, preferably followed by a Master’s degree.
  • You think in terms of what is possible, see opportunities and take a solutions-oriented approach.

We offer (under Dutch CLA)

  • A personal development budget of €1.000,- per year.
  • A public transport card for the train, bus, tram and metro.
  • 25 holiday days and 5 Banking for Better days, which you can use to work on your personal development or to make a positive impact on society.
  • The freedom to get the best out of yourself, hybrid working and plenty of room to grow.
  • Guidance from your line manager, assignment supervisor, trainers, and a mentor

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Two types of starter positions

There are two starting positions within the Data traineeship.

Data Analyst

As data analyst trainee you will learn how to sift through data and seek to identify trends. What stories do the numbers tell? What business decisions can be made based on these insights? See yourself as a consultant between the data and a business line. As a data analyst you may also create visual representations, such as dashboards, charts and graphs to better showcase what the data reveals. 

Data Scientist

As data scientist trainee you will primarily learn how to translate business challenges into technical predictive models that support a better decision making. As data scientist you will be well-equipped to store and clean large amounts of data, explore data sets to identify valuable insights, build predictive models, and run data science projects from end to end

Frequently asked questions

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