Apprenticeship - Data Scientist at Amadeus

Nice, Provence-Alpes-Côte d'Azur, France -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Predictive Models, Machine Learning, Data Analysis, Analytics, Visualization, Data Quality, English Proficiency, Problem Solving, Collaboration

Industry

IT Services and IT Consulting

Description

Job Title Apprenticeship - 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're looking for an apprenticeship (1- to 3-year contract where student alternate between academic courses at their school/university and hands‑on professional experience within the company.) You are currently enrolled in a master's degree in engineering or equivalent. 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. 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. Amadeus endeavors to make https://jobs.amadeus.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process for Amadeus France, please contact us at accommodations.france@amadeus.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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!

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Responsibilities

The role involves applying data science to real-world challenges by designing predictive models and analyzing large datasets to inform organizational decisions. Responsibilities include collecting and processing data, implementing machine learning algorithms, and collaborating with various teams to deliver data-informed features.