AI/Data Engineering Internship (Dutch Speaking)
- Hybrid
- Hypersolid Alkmaar
- Internships
- Internship
Job description
For one of our partner companies, active in the professional football market, Hypersolid is seeking an AI/Data Engineering intern for a dedicated, hands-on assignment.
The assignment
You will build a working prototype of an AI-driven Transfer Data Model: a system that structures transfer data from multiple sources and makes it usable for analysis, decision-making, and matchmaking between clubs and players.
This is not a research internship. You will design, build, and demonstrate something real.
Your work includes:
Designing a conceptual and logical data model for player and transfer data
Building a data dictionary and processing example data from Excel, contracts, or other documents
Developing an AI/data extraction flow using Python and LLMs
Building basic matching logic between clubs and players
Delivering a working prototype with documentation and a demo
What we are looking for
You are an HBO or WO student in Artificial Intelligence, Data Science, Computer Science, Business IT, Informatica, or Econometrics with a technical focus. You are practical, curious, and builder-minded. You translate messy business data into clean models and working code.
You are comfortable with Python, interested in LLMs and data extraction, and independent enough to scope your own work. Affinity with football or scouting is a plus, but technical drive and product thinking matter more.
Dutch speaking is required. English working proficiency is a plus.
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Build digital products that matter. Work with people who care.
Hypersolid is a human-first company. We believe great work starts with people who feel trusted, supported, and empowered. Technology matters to us, but it’s never the goal. We grow through curiosity, learning, and collaboration, and we believe everyone should have a voice. Empathy and honesty shape how we work, with open communication and respectful feedback. And because we’re makers at heart, we love building things that matter and tackling challenges with energy and optimism. If you care about people, love to learn, and want to create meaningful work with a supportive team, you’ll feel at home here

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