Internship - Data scientist

Amadeus France; Nice; On-site; EUR 12,000 - 17,000; Full time

Job summary

Amadeus is offering a Data Scientist Internship in Nice, France. You will work on applying data science to real-world challenges, designing predictive models, analyzing large datasets, and contributing to data-informed decisions across the organization with a focus on machine learning, analytics, and visualization.

You will collaborate with product, engineering, and business teams to deliver data-informed features and help maintain data quality and scalable analytics workflows in a multicultural

Qualifications

• 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.

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.

Job description

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 responsible 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

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.

We are Amadeus and we make travel work better for everyone, everywhere. As part of our global team of 20,000+ passionate team members across 100+ locations, you'll join a community united by a love for travel and technology. We're not just shaping the future of travel; we're using it as a force for good, enriching lives and supporting our planet. Here, you'll be free to innovate and grow with driven colleagues. Join us on a journey where you will help us bring the world closer!