Data Scientist
Villeneuve Loubet, France
Amadeus
Discover how Amadeus' platform and technology help airlines, travel agencies, hotels and others connect, do business, and deliver better travel experiences.Job Title
Data ScientistJob Description
Business environment
The Creation Platform mission is to enable innovation to accelerate, expand business value and increase process efficiency, by sharing capabilities transversally across Amadeus business versus purely ‘vertical ‘ product line approach. The Creation Platform is at the core of Amadeus Travel Unit growth strategy. It connects partners, suppliers, customers, and travelers, with solutions, capabilities, intelligence and content enabling the travel ecosystem of the next generation.
The Data & AI/ML value creation team is composed of a mix of data scientists and data engineers. The team is responsible for enriching the platform content and facilitating the creation of intelligent applications within the Amadeus portfolio. The first remit is achieved through design and delivery of transversal data assets, which include the ti-tables framework covering Altea data Lakehouse. The creation of intelligent applications is boosted through dedicated incubation resources and Data Science Services where our experts are offered to speed up time-to-market and reduce the initial investment. Our services can be integrated into any R&D or business team as extra workforce or lead the project until the solution is up and running.
During this experience
The candidate will work as part of data science team to understand the Amadeus business and to develop technical capabilities such as Machine Learning (ML), deep learning and GenAI to solve real problems and contribute to enhance Amadeus products and solutions. He/she will contribute to translate business goals into analytics use cases, propose, and implement appropriate data science approaches to deliver insights and model. The candidate will particularly learn how the airlines, by adopting new retailing techniques, need to ensure their policies are enforced and their revenue are protected from system misuse and fraudulent behaviors. He/she will go deeply into different misuses categories to understand the behavior and apply anomaly detection approaches and explainability to detect/explain new patterns of frauds/misuses that could end up with airline revenue loss leveraging machine learning/GenAI techniques. The candidate will also write technical reports and present the results to different stakeholders.
The ideal candidate
Pursing the final year of engineer diploma or master’s degree in computer science, Data Science, Machine Learning and has a good level of proficiency in English. The candidate should be above all eager to learn and be autonomy, in addition to a good academic record. Here are a list of skills and knowledge that an ideal candidate should possess:
- Analytical thinking
- High pro-activity
- Open minded and generalist
- Strong trouble-shooting and problem-solving skills
- Basic knowledge of deep learning and machine learning principles and methods
- Good knowledge on the programming language of Python.
- Good communication and presentation skills
Are you a highly motivated, curious, team player with a passion for machine learning, deep learning, and natural language processing? Apply now!
What we can offer you
- Join in one of the world’s top 10 software companies that never stops growing
- Impact millions of travellers from all around the globe by solving problems
- Constantly learn new skills and try new ideas with the best IT experts
- Be part of a multicultural team of 17,000 professionals and get the chance to master your English skills
- Blend in a great community of +200 international students and access a great place to network!
- Transportation reimbursement upon conditions
- Super activities provided by the “company committee” (CSE) with great offers from ski resort,
- spa, gym package, concerts to cinema and much more
- Showers convenience for the sport practitioners
- Have a support in relocation to Nice offices
Application process
The application process takes around 10 minutes to complete: create your candidate profile in our
system, upload your resume & answer to few questions so we are ready to study your application!
If your application fits the mandatory requirements, you will have a prequalification call with the People & Culture department. If the interview is successful, your profile will be accessible to our hiring managers; they will be the next Amadeus representative to contact you.
Amadeus is both inclusive and accessible. Let us know if you have any specific needs so we can organize adaptations as needed.
If you are selected for the trainee or apprentice position, we will make you an offer in the next
days through the Amadeus placement agreement.
Provide us with all the onboarding documents and agreement signed by all parties as soon as possible
so you are ready to join us!
Are you the one we’re looking for? Do not hesitate to apply now!
Diversity & Inclusion
Amadeus is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or a related medical condition), ancestry, national origin, age, genetic information, military or veterans status, sexual orientation, gender expression, perception, or identity, marital status, mental or physical disability status, or any other protected federal, state, or local status unrelated to performance of work involved.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Deep Learning Generative AI Machine Learning NLP Python R R&D
Perks/benefits: Career development Relocation support Startup environment
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