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Hamburg, Germany
2026-10-10
Lufthansa Technik
English
Western Europe
Internship Data Science & Business Analytics Start date: January 2027, duration: 6 months
Role Description
Join a team shaping the future of analytics: build production‑ready frontends, deploy containerized cloud solutions, and create intelligent GenAI-driven innovations. Explore, prototype, and implement cutting‑edge models while ensuring data quality that powers real business impact!
**Tasks**
Exciting topics await you during your internship:
* Work on current state-of-the-art innovation projects in the field of business analytics & data science
* Help us in create production-ready frontends to visualize our results
* Implement containerized solutions in our cloud environment
* The internship can be followed up with a master thesis
* Explore, prototype, and implement novel data science and Gen AI approaches, including time series forecasting, LLM‑based assistants, agentic workflows, and automation use cases
* Support us in designing data ETL processes, ensuring high data quality and reliability for analytical and operational use cases
**Benefits**
* Flexible working hours
* Employee events
* Special deals with selected partners
* Cafeteria
* Subsidized public transport
* Company sports / gym
**Requirements**
* To complete an internship with us, you must be enrolled for the entire period (min. 3rd semester) or complete the internship between your Bachelor's and Master's degree (Gap Year). You should also meet the following requirements:
* Enrollment for the entire period of the internship (current certificate of enrollment and written proof of mandatory internship must be enclosed with the application) or internship between the Bachelor's and Master's degree program (Gap Year)
* Basic knowledge of data science methods (ETL-processes, time-series-forecasting, Gen AI)
* Experience with object-oriented programming is a strong plus
* Good communication skills
* Fluency English
* First experience with cloud deployment is a plus
* Experience in Python programming, experience with libraries such as Pandas, Scikit-learn, Plotly, Dash are a plus
Further information can also be found in our FAQs.