Internship in the Data Science Delivery Team limited 6-8 months, 80-100
Swiss International Air Lines AG
About the role
About Swiss International Air Lines AG
Swiss International Air Lines (SWISS) is Switzerland's leading air carrier. With one of Europe's most advanced aircraft fleets, SWISS is a premium airline that provides direct flights from Zurich and Geneva to keep Switzerland connected with Europe and the world. Its Swiss WorldCargo division offers an extensive range of airport‑to‑airport airfreight services for high‑value, time‑critical and care‑intensive consignments. SWISS embodies Switzerland's traditional values and is dedicated to delivering the highest product and service quality. The company has also set itself ambitious CO₂ goals, and plans to halve its 2019 net CO₂ emissions by 2030 and make its business and operations entirely carbon‑neutral by 2050, particularly by promoting the use of sustainable aviation fuels. SWISS is part of the Lufthansa Group, and is also a member of Star Alliance, the world's biggest airline network.
Internship Overview
Are you fascinated by data and its application to the airline industry? This internship places you at the heart of data science projects in the Lufthansa Group. Join the Data Science Delivery Team, be part of our group's most innovative projects, and shape our journey towards a data‑driven future.
Starting Date
May 15, 2026
Application Language
Please apply in English.
Tasks
- Support and contribute to data science projects, gaining practical experience in tasks such as data preprocessing, modeling and building dashboards in Tableau or Power BI
- Support with organizational tasks to accelerate and drive data projects (e.g., admin, prioritization, coordination)
- Promote the importance of data and data science within the company by managing communication tasks, and assisting with workshops, training sessions, and presentations
- Participate in various data community events, conferences and data trainings
- Thrive in and collaborate with a diverse team of experts across different locations within a flexible working environment
Requirements
- All you need is a passion for data and its application in the airline industry.
- Bachelor's or Master's Degree or an 'HF' Advanced Federal Diploma of Higher Education in economics, business administration, computer science, engineering or similar studies with focus on analytics
- Strategically thinking and understanding how analytical findings can be turned into benefits for customers, employees, group companies and the environment
- Analytical and conceptual mindset, creativity and ability to stay atop complex situations, combined with a strong willingness to learn and broaden your skillset
- Basic knowledge with BI tools (e.g., Tableau), programming languages (e.g., Python) and Databases (e.g., SQL, Databricks)
- Motivated, reliable and team orientated personality with good communication skills
- Fluency in English
- Very good command of MS Office
Contact
For any further questions, please contact our Recruiting Services Center at +41 44 564 22 66.
Requirements
- Bachelor's or Master's Degree or an 'HF' Advanced Federal Diploma of Higher Education in economics, business administration, computer science, engineering or similar studies with focus on analytics
- Strategically thinking and understanding how analytical findings can be turned into benefits for customers, employees, group companies and the environment
- Analytical and conceptual mindset, creativity and ability to stay atop complex situations, combined with a strong willingness to learn and broaden your skillset
- Basic knowledge with BI tools (e.g., Tableau), programming languages (e.g., Python) and Databases (e.g., SQL, Databricks)
- Motivated, reliable and team orientated personality with good communication skills
- Fluency in English
- Very good command of MS Office
Responsibilities
- Support and contribute to data science projects, gaining practical experience in tasks such as data preprocessing, modeling and building dashboards in Tableau or Power BI
- Support with organizational tasks to accelerate and drive data projects (e.g., admin, prioritization, coordination)
- Promote the importance of data and data science within the company by managing communication tasks, and assisting with workshops, training sessions, and presentations
- Participate in various data community events, conferences and data trainings
- Thrive in and collaborate with a diverse team of experts across different locations within a flexible working environment
Skills
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