1. Work on current state-of-the-art innovation projects in the field of Business Analytics
2. Support us in designing data ETL processes and creating forecast models based on machine-learning and statistical methods
3. Help us in creating production-ready Frontends to visualize our results
4. Challenge the status-quo by researching and implementing novel methods for demand forecasting
5. Implement containerized solutions in our cloud environment
6. The internship can be followed up with a master thesis
Canteen (subsidized by employer), Jobticket / Subsidized public transport, Discounts / shopping, Employee events (summer festivals, participation in sports competitions etc), Flexible working hours, Fitness studio / sports facilities / company football etc.
7. At the date of the internship you have completed the third semester
8. Enrollment for the entire period of the internship (current enrollment certificate and must be attached to the application) or internship between the Bachelor and Master studies (Gap Year)
9. Enrolled student within Data Science, Business-Informatics, Computer-Science, (Business-) Mathematics, Engineering, Physics or similar field of study
10. Knowledge of Data Science methods (ETL-processes, machine-learning, time-series-forecasting)
11. Experience in coding Python, experience with libraries such as pandas, sklearn, plotly, dash are a plus
12. Experience with data visualization tools such as PowerBI, Tableau etc. are a plus
13. First experience with cloud deployment is a plus
14. Fluent English
For further information please see