Strategy to Results.

CAMELOT Management Consultants is the globally leading consulting specialist for value chain management in the process, consumer product goods and manufacturing industries. As a specialist we stand for leading-edge expertise, innovative concepts and solutions as well as for superior project quality and results.

Working Student / Intern Data Science / Machine Learning for Enterprise Information (f/m/d) 


What's your future business?


  • Support conception and realization of new data science based consulting services for Enterprise Information Management (EIM)
  • Realization of machine learning based proof of concepts/minimal viable products for international clients
  • Model definition, training, evaluation, visualization and optimization
  • Support the facilitation of the global community for AI in Master Data Management
  • Research support for dedicated EIM machine learning challenges to leverage latest research results/paper for real live implementations
  • Location: Mannheim, Cologne, Munich


Who are you?


  • Ongoing bachelor/master in a business-related course of study, e.g. business administration, (business-) informatics, mathematics or physics
  • Desire to combine data science and business consulting
  • Analytical thinking, client focus and pleasure when working in an international team
  • Basic Python/R programming skills
  • First experience in developing machine learning models is beneficial
  • Very good communication and presentation skills in German and English


Ready to join? Dimitri Hain is your Camelot contact: +49 621 86298 470

What do we believe in?


Innovation by collaboration – this is our mission. Consultancy is people business and knowledge is key. That is why we value our employees as much as our clients. Together, we develop skills mutually matching our visions and ideas by constantly learning, growing and innovating. CAMELOT colleagues take responsibility from the moment they join us. Entrepreneurial attitude is as important to us as strong teamwork, knowledge sharing and corporate social responsibility.