1. Assist in developing proof of concepts (POCs) and data science prototyping within our department and with business units
2. Support the transition of the prototype from development to production
3. Develop and present data insights and findings related to the airline commercial domain in an attractive and comprehensible format
4. Support data management, processing, and analysis tasks specific to airline commercial, revenue management and customer insights
5. Collaborate with project teams on data-driven projects in areas such as pricing, route optimization, and passenger segmentation
6. Communicate data insights effectively to stakeholders in various formats and channels
7. Help organize data science events and workshops focused on the airline industry
8. Support other teams and stakeholders in data-related topics
Free parking, Canteen (subsidized by employer), Jobticket / Subsidized public transport, Discounts / shopping, Employee events (summer festivals, participation in sports competitions etc), Flexible working hours
9. 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)
10. At the date of the internship you have completed the third semester in Data Science, Computer Science, Statistics, Mathematics, or a related field
11. Strong analytical and problem-solving skills with a passion for the airline industry
12. Proficiency in programming languages such as Python or R and experience with data analysis tools and libraries
13. Familiarity with SQL, database management and Microsoft Azure Environment is a plus
14. Knowledge of machine learning algorithms and statistical methods
15. Excellent communication skills, with the ability to present complex data insights clearly and effectively
16. Ability to work collaboratively in a team environment and manage multiple tasks
17. Familiarity with Large Language Models & Generative AI technologies is a plus
For further information please