Internship Data Science in Data and Analytics Department

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 apply Tasks 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. Benefits Flexible working hours Behind the scenes Be part of our Team! The internship will start in October 2025 for 6 months. The internship is remunerated. Requirements 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) 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 Further information can also be found in our FAQs . Company About Deutsche Lufthansa AG www.lufthansa.com apply