Bachelor (EQF 6), Master (EQF 7)
Apply before:
Hours p/wk:


A thesis internship at KPMG means writing your thesis on a topic of your choice. You will be supervised by professionals with both practical and academic experience and you get to know KPMG, our work and our projects.


Your challenges

  • Research on Fairness or Explainable Machine Learning
  • Show independence in your research
  • Succesfully writing your thesis
  • Contribute to knowledge-sharing sessions and thought-leadership 

This is you

  • Your thesis is part of a Masters degree in Data Science, AI, applied Math or similar
  • A passion for reliable and fair AI
  • A drive to show the practical implications of your research
  • Critical academic thinking
  • Experience with Machine Learning 


Your role as Thesis Internship AI in Control?

Companies and governments are using more and more data analytics and AI. Becoming more data-driven can bring great value to organizations and AI comes with the promise of solving todays society's problems. However, when relying more and more on these technologies we also have to be certain that they are ethically designed, work as intended and that outcomes are fair and reliable.
KPMG's Trusted Analytics team helps organization and governments to understand the risk of data analytics and AI and how mitigate these. Our works varies from designing an a framework for ethical AI to reviewing (auditing) Machine Learning models.


"As a thesis intern your first priority is your research and thesis! Aside from that you will get to know KPMG and our work, and have the opportunity to contribute to our projects."


You are free to choose your own research topic within in the field of fairness or explainable machine learning. Your supervisor and colleagues will support and guide you along the way. As an intern you are truly a part of our team: we would love for you to join us on activities and social events.


What we offer

  • A competitive internship compensation

  • A young and enthusiastic team

  • Supervision by professionals with both practical and academic experience

  • A laptop

  • Access to the KPMG network for your research

  • Great (online) activities and social events

  • Flexible workhours and holidays