Internship in Data & AI Innovation & Portfolio (limited 6-8 months, 80-100%, all genders

Are you fascinated by data, AI and their impact on the airline industry? Support our team in delivering data science solutions, strengthen Data & AI enablement across the Lufthansa Group, and translating innovative ideas into practice.

Starting date
:
October 01, 2026

You may apply in English.

As part of the Digital Solutions Ecosystem, our team turns Data & AI ideas into practical solutions, supports employees in adopting AI, and connects initiatives across SWISS and the Lufthansa Group to create measurable value.

• Support and contribute to data science & AI projects, gaining practical experience in tasks such as data analysis, modeling, and visualization 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 AI within the company by managing communication tasks, and assisting with workshops, training sessions, and presentations
• Participate in various data & AI community events, conferences and trainings
• Thrive in and collaborate with a diverse team of experts across different locations within a flexible working environment

• Flexible working hours
• Remote working (e.g. from home)
• 25 days of annual vacation
• Employee and networking events
• Company health management
• Discounts
• Diversity programs
• Flight benefits
• Subsidized parking or public transport

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 Data Science, Economics, Business Administration, Computer Science, Engineering or similar studies with focus on analytics
• Strategic mindset with the ability to translate analytical findings into tangible business outcomes for customers and employees
• Analytical and conceptual mindset, creativity and ability to navigate complex situations combined with a strong willingness to learn and broaden your skillset
• Basic knowledge of BI tools (e.g., Tableau), programming languages (e.g., Python), Databases (e.g., SQL), and data platforms (e.g., Databricks)
• Motivated, reliable team player with good communication skills
• Fluency in English
• Very good command of Microsoft 365 Applications