What you’ll work on

Full posting

We are seeking a data scientist to join our team and apply data science to real-world challenges.

Collect, process, and analyze structured and unstructured datasets

You’ll design predictive models, analyze large datasets, and contribute to data-informed decisions across the organization.

From the employer’s posting

We are seeking a data scientist to join our team and apply data science to real-world challenges. You’ll design predictive models, analyze large datasets, and contribute to data-informed decisions across the organization. With a focus on machine learning, analytics, and visualization, you’ll help develop solutions that enhance our platform.

Collect, process, and analyze structured and unstructured datasets

Role overview We are seeking a data scientist to join our team and apply data science to real-world challenges. You’ll design predictive models, analyze large datasets, and contribute to data-informed decisions across the organization. With a focus on machine learning, analytics, and visualization, you’ll help develop solutions that enhance our platform. Your main responsibilities

About Amadeus

You are currently pursuing a Master’s degree or equivalent experience in engineering or data science

In the employer’s words · Read in context

Job description

View original posting ↗

Job Title

Internship - Data scientist

What about us?

Amadeus. It’s how travel works better.

We are a global team of 20,000 team members across 100+ locations. We make travel better for everyone, everywhere by fostering innovation, building partnerships, and acting responsibly toward people, places, and the planet.

Working with us in Nice, France

Our Nice office is exceptionally multicultural, with more than 4,500 people and 90+ nationalities working together. We’ve created a collaborative work environment that supports innovative ways of working and promotes a healthy work-life balance.

What about your future mission?

Role overview

We are seeking a data scientist to join our team and apply data science to real-world challenges. You’ll design predictive models, analyze large datasets, and contribute to data-informed decisions across the organization. With a focus on machine learning, analytics, and visualization, you’ll help develop solutions that enhance our platform.

Your main responsibilities

Collect, process, and analyze structured and unstructured datasets

Design, implement, and validate predictive models and machine learning algorithms

Collaborate with product, engineering, and business teams to identify opportunities and deliver data-informed features

Contribute to maintaining data quality, reliability, and scalability in analytics workflows

About the ideal candidate

You are currently pursuing a Master’s degree or equivalent experience in engineering or data science

Good proficiency in English

Curious and interested in solving real-world problems using data

Comfortable working in a collaborative and diverse environment

Interested in continuous learning and development

Application process

You are applying to a generic offer. If you are selected for a first interview, our School Relations team will contact you to better understand your interests and skills. This will help us match you with the most suitable opportunity and connect you with the appropriate manager.

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience. 

Amadeus is an equal opportunity employer and committed to an accessible recruitment process. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.

Be aware of recruitment scams

Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.