Internship Data Scientist

Internship Data Scientist You love crunching data and want to apply your data science knowledge in a dynamic work environment? You want to work at the intersection of IT, Business and Engineering? Then you will fit right in! The internship is scheduled to start in October 2025 for 4-6 months. The internship is compensated. Facts Location Hamburg Employment level Internship Function IT Working time Full-time Application deadline 09-04-2025 apply Tasks Work on current state-of-the-art innovation projects in the field of Business Analytics Support us in designing data ETL processes and creating forecast models based on machine-learning and statistical methods Help us in creating production-ready Frontends to visualize our results Challenge the status-quo by researching and implementing novel methods for demand forecasting Implement containerized solutions in our cloud environment The internship can be followed up with a master thesis Benefits Canteen (subsidized by employer), Jobticket / Subsidized public transport, Discounts / shopping, Employee events (summer festivals, participation in sports competitions etc), Flexible working hours, Fitness studio / sports facilities / company football etc. Behind the scenes Working in IT @LHT Work in the dynamic field of data science and business analytics Contribute to digital projects with great impact and high visibility within the organization We are a young team with flat hierarchies Video: https://player.vimeo.com/video/376782037 Be part of our team! Requirements At the date of the internship you have completed the third semester Enrollment for the entire period of the internship (current enrollment certificate and proof of mandatory internship must be attached to the application) or internship between the Bachelor and Master studies (Gap Year) Enrolled student within Data Science, Business-Informatics, Computer-Science, (Business-) Mathematics, Engineering, Physics or similar field of study Knowledge of Data Science methods (ETL-processes, machine-learning, time-series-forecasting) Experience in coding Python, experience with libraries such as pandas, sklearn, plotly, dash are a plus Experience with data visualization tools such as PowerBI, Tableau etc. are a plus First experience with cloud deployment is a plus Fluent English For further information please see our FAQs. Company About Lufthansa Technik AG www.lufthansa-technik.de apply