Intern Data Scientist
International Air Transport Association (IATA)
Genève, GE, CH
Hybrid
2026-07-01
Estimated salary · Geneva
~ CHF 98,900 - CHF 115,000
Low
CHF 98K
Median
CHF 115K
High
CHF 135K
Market in Geneva · BFS 2025
Job description
Employment Type: Internship
Contract Duration: 6 months
Why you will love working here
At IATA, we represent over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive.
* **Our Values** are not just words on a page \- they are the energy behind everything we do: **ONE IATA** \- We collaborate across teams, **TRUSTED** \- We do the right thing, **INNOVATIVE** \- We make tomorrow better, **INCLUSIVE** \- We embrace diverse perspectives.
* With over 30,000 courses available, we believe in continuous learning and support your growth in an ever\-changing industry.
* Diversity, equity, and inclusion are our priorities. We are certified by the Equal Salary Foundation, offering equal pay and family\-friendly policies.
* We encourage community involvement through volunteering and strive to make tomorrow better for aviation and our communities. We offer time off so you can support causes important to you.
* We promote work\-life balance with flexible work options, including remote and hybrid work, a generous 'work from abroad' policy, and you get your birthday off!
About the team you are joining
Reporting to the Principal Data Scientist, the Intern Data Scientist will work within the Data Science team and support the technical implementation of cross\-divisional data science solutions to use cases that span across multiple business areas. The ideal candidate should have a strong analytical mindset, attention to detail, and understanding of statistical modelling, machine learning, and data analysis techniques.
What your day would be like
You will be an integral part of the Data Science team, and your main responsibilities will include:
* Collecting and cleaning data from various sources to ensure accuracy and completeness.
* Conducting analysis to identify trends, patterns, and insights that inform business decisions by leveraging data science methods.
* Assisting in the development and implementation
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