Internship Data Science in Data and Analytics Department
Are you excited about harnessing data to drive innovation in the airline industry? Do you excel at tackling analytical challenges and crafting creative solutions? Join us as a Data Science Intern and immerse yourself in data analysis, generate actionable insights, and contribute to reshaping air travel!
Facts
-
Location
Frankfurt / Main
-
Employment level
Internship
-
Function
IT
-
Working time
Full-time
-
Application deadline
08-21-2025
- 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 - Support data management, processing, and analysis tasks specific to airline commercial, revenue management, and customer insights
- Collaborate with 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
Flexible working hours
- Enrollment for the entire duration of the internship (current enrollment certificate and written proof of mandatory internship must be included with the application) or the internship between the Bachelor's and Master's degree program (Gap Year)
- Pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or Natural Sciences
- Strong analytical and problem-solving skills with a passion for the airline industry
- Proficiency in programming languages such as Python or R and experience with data analysis tools and libraries
- Familiarity with SQL, database management and Microsoft Azure Environment is a plus
- Knowledge of machine learning algorithms and statistical methods
- Excellent communication skills, with the ability to present complex data insights clearly and effectively
- Ability to work collaboratively in a team environment and manage multiple tasks
- Familiarity with Large Language Models & Generative AI technologies is a plus
Further information can also be found in our FAQs.
About Deutsche Lufthansa AGwww.lufthansa.com
