Lufthansa Technik AG
22335 Hamburg - Deutschland
Data Scientist
Praktikum/Trainee/Werkstudent
Vollzeit
ab 14.04.2026
Beschreibung
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, ... weiter lesen
- 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, ... weiter lesen
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.
Ihr Profil:
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 writtenproof 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 foundin our FAQs.
- 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.
Ihr Profil:
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 writtenproof 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 foundin our FAQs.
Ref-Nr.: 9644532
Aktualisiert:
17.04.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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