Join us and shape the future of travel
Shaping the future of travel has always been important to us at Amadeus. Today, with technology getting smarter by the minute, that future is more exciting than ever.
We work at the heart of the global travel industry. Amadeus offers you the opportunity to learn and grow and drive your own progression in an exciting and multicultural environment.
Our people are driven by a passion for 'Where next?' If you want to shape your career and the future of travel, Amadeus is the place for you.
Summer internship: 2 months
Summary of the role
The Search, Shopping & Pricing division is a division of approximately 350 people, spread over Nice, Boston and Bangalore, responsible for delivering high quality products related to pricing transactions, search engines for airlines (Air France, Lufthansa, British Airways, Air Canada…), online travel agencies (Opodo, eDreams, eBookers…) and metasearch (Kayak). Those products can be seen on either terminals (standard travel agencies, airports desks), well-known web sites or mobile applications.
Inside SSP, in order to solve a highly complex and constrained combinatory problematic, the Search & Shopping Engines department is in charge of providing these products with sophisticated algorithms in a highly complex and constrained combinatory problematic.
In this department, the trainee will be part of the team in charge of developing the Shopping Engine. The trainee will work in close collaboration with developers.
The aim of the Shopping Engines is to provide the end user with travel solutions matching his request and fitting with the main criteria of a Fare Search: response time, cheapest price, book-ability and convenience.
One of the main concerns of our customers is the conversion rate, i.e. the ratio between searches & bookings in their business. The most important pillar of the conversion is the findability , i.e. the ability to propose the cheapest available solutions to a trip request.
The purpose of this internship is to improve the findability of our shopping product by optimizing the selection of the flights the shopping process will explore. This selection depends on various criteria based on flights and fares and is currently managed in a static way.
After a first phase of study of the selection module, the objective will be first to demonstrate the room for improvement of this module and then to optimize the way the criteria are handled in the module. One outcome of the internship will be to propose a prototype, which would define the best selection settings leading to the most significant findability improvement. The intern will develop this prototype in collaboration with the development team.
· Good technical skills (C/C++, algorithm, optimization )
· Curious, fast learner, team spirit, conceptual thinking.
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