Lufthansa Technik
Internship Data Science & Business Analytics Internship start: May 2026, duration: 6 months
Lufthansa TechnikGermany1 day ago
Full-timeInformation Technology
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 creating 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

  • Employee events
  • Cafeteria
  • Company sports / gym
  • Flexible working hours
  • Subsidized public transport
  • Special deals with selected partners

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
  • Fluent English
  • First experience with cloud deployment is a plus
  • Experience in coding python, experience with libraries such as pandas, sklearn, plotly, dash are a plus

Further information can also be found in our FAQs.

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