Internship Data Science in Data and Analytics Department

Assist in developing proof of concepts (POCs) and data science prototyping within our department and with business units.
Support the transition of the prototype from development to production.
Develop and present data insights and findings related to the airline commercial domain in an attractive and comprehensible format.
Support data management, processing, and analysis tasks specific to airline commercial, revenue management, and customer insights.
Collaborate with project teams on data-driven projects in areas such as pricing, route optimization, and passenger segmentation.
Communicate data insights effectively to stakeholders in various formats and channels.
Help organize data science events and workshops focused on the airline industry.
Support other teams and stakeholders in data-related topics.

Benefits:

• Free parking
• Canteen (subsidized by employer)
• Jobticket / Subsidized public transport
• Discounts / shopping
• Employee events (summer festivals, participation in sports competitions, etc.)
• Flexible working hours

Requirements:

1. Enrollment for the entire period of the internship (current enrollment certificate must be attached to the application) or internship between the Bachelor and Master studies (Gap Year).
2. At the date of the internship, you have completed the third semester in Data Science, Computer Science, Statistics, Mathematics, or a related field.
3. Strong analytical and problem-solving skills with a passion for the airline industry.
4. Proficiency in programming languages such as Python or R and experience with data analysis tools and libraries.
5. Familiarity with SQL, database management, and Microsoft Azure Environment is a plus.
6. Knowledge of machine learning algorithms and statistical methods.
7. Excellent communication skills, with the ability to present complex data insights clearly and effectively.
8. Ability to work collaboratively in a team environment and manage multiple tasks.
9. Familiarity with Large Language Models & Generative AI technologies is a plus.

For further information please

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