Junior Data Scientist

Company: Haystack

Location: Amsterdam, North Holland (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-14

About this role

Data Scientist


We are working with a leading business consultancy that specialises in guiding financial institutions through digital transformation. They are seeking ambitious individuals to join their comprehensive traineeship program, offering a unique opportunity to kickstart a career in data science within the financial sector.


The Role

  • Participate in an 18-month traineeship designed to develop data-driven internal consultants.
  • Translate complex business challenges into intelligent data-driven solutions.
  • Work on diverse data projects, transforming data into actionable insights, predictions, and process improvements.
  • Build and test machine learning models for risk assessment, customer behaviour, fraud detection, and process optimisation.
  • Present findings and advisory insights to clients, fostering strong communication and collaboration within multidisciplinary teams.
  • Gain the opportunity for permanent employment with a key client in the financial sector after successful completion of the traineeship.

What You'll Need

  • A completed HBO or WO degree in IT, Data Science, AI, Econometrics, Finance, or a similar field.
  • Strong interest in innovation and the financial sector, ready to make an impact with data and AI.
  • Basic knowledge of Python and/or SQL for data manipulation and analysis.
  • Excellent problem-solving skills and a eager-to-learn attitude.
  • Fluency in Dutch, both written and spoken.
  • Residing in the Netherlands.

What's On Offer

  • Competitive starting salary of €3,566 per month (including holiday pay).
  • Fully paid comprehensive training program with official certifications and monthly training days.
  • Personal coaching, intervision, and projects at top organisations in the financial sector.
  • Opportunity for a permanent contract with a client upon completion of the traineeship.

Apply via Haystack today!

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