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Internship Data Science & Business Analytics
Hamburg, Deutschland
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Job title: Internship Data Science & Business Analytics
What you’ll work on
Full postingHelp build production-ready frontends to visualize analytics results
Implement containerized solutions in the cloud environment
Explore and prototype GenAI, time series forecasting and automation use cases
Design ETL processes that ensure high data quality and reliability
From the employer’s posting
Help us in create production-ready frontends to visualize our results
Implement containerized solutions in our cloud environment
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
What you’ll bring
All qualificationsCore experience
- Enrolled for the whole internship period (min. 3rd semester) or a gap year between Bachelor's and Master's
- Basic knowledge of data science methods (ETL, time-series forecasting, GenAI)
- Good communication skills
- Fluent English
Preferred experience
- Experience in Python programming, experience with libraries such as Pandas, Scikit-learn, Plotly, Dash are a plus
Qualification wording
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)
Basic knowledge of data science methods (ETL-processes, time-series-forecasting, Gen AI)
Good communication skills
Fluency English
Experience in Python programming, experience with libraries such as Pandas, Scikit-learn, Plotly, Dash are a plus
Education & alternatives
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)
- 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)
About Lufthansa Group
Lufthansa Technik is the world's leading provider of maintenance, repair, overhaul and modification services in the aviation industry.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Oct 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Lufthansa Group is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- pandas
- Plotly
- scikit-learn
Where the posting names them
- 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.
Your next step
Complete your application on apply.lufthansagroup.careers. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job 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
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.
About Lufthansa Technik AG
Lufthansa Technik is the world's leading provider of maintenance, repair, overhaul and modification services in the aviation industry. With more than 22.000 employees and over 30 international subsidiaries, the Lufthansa Technik Group offers around 800 customers around the world a complete range of aircraft technology services.
The fascination for flying is what connects us all. In front of the engine or behind the laptop, in logistics or on the smallest individual part. We make aviation safe, rethink it – and still keep our feet on the ground. Because only when every move is perfect and we discover innovative possibilities even in the smallest detail, we are proud. We believe in the potential of the individual. And in the fact that this potential grows best in the community. Our diversity makes us strong and allows us to stand out together.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hamburg, Deutschland
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.