1. Pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or Natural Sciences.
2. Strong analytical and problem-solving skills with a passion for the airline industry.
3. Proficiency in programming languages such as Python or R and experience with data analysis tools and libraries.
4. Familiarity with SQL, database management and Microsoft Azure Environment is a plus.
5. Knowledge of machine learning algorithms and statistical methods.
6. Excellent communication skills, with the ability to present complex data insights clearly and effectively.
7. Ability to work collaboratively in a team environment and manage multiple tasks.
8. Familiarity with Large Language Models & Generative AI technologies is a plus.
Flexible working hours
9. Enrollment for the entire duration of the internship (current enrollment certificate and written must be included with the application) or the internship between the Bachelor's and Master's degree program (Gap Year)
10. Assist in developing proof of concepts (POCs) and data science prototyping within our department and with business units
11. Support the transition of the prototype from development to production
12. Develop and present data insights and findings related to the airline
commercial domain
13. Support data management, processing, and analysis tasks specific to airline commercial, revenue management, and customer insights
14. Collaborate with teams on data-driven projects in areas such as pricing, route optimization, and passenger segmentation
15. Communicate data insights effectively to stakeholders in various formats and channels
16. Help organize data science events and workshops focused on the airline industry
17. Support other teams and stakeholders in data-related topics
Further information can also be found .