Internship: Graph mining for virtual interlining

Description de l'offre

If you could change one thing about travel, what would it be? At Amadeus, you can make that happen!

Travel makes the world a better place and we are fully dedicated to improving it and making it even more rewarding. We are one of the world’s top 15 software companies: we provide technology solutions and services within the travel industry.

Do you have ideas on how to improve travel for everyone? Do you find the idea of working in a diverse, multicultural environment exciting? Are you ready to make an impact across the world? Great, then join us! Let’s shape the future of travel together. #shapethefutureoftravel@Amadeus

Start date: Summer

Duration: 6 months: internship

Team Description:

The Search, Shopping & Pricing (SSP) product engineering group serves the core Distribution business of Amadeus as well as Airline IT e-commerce business and the Rail IT and Travel Intelligence new businesses. It is responsible in particular for the travel Search and Shopping products, which power today a vast number of airline and travel agency websites.

In the Analytics and Data Mining department (ADM) we leverage the data produced by SSP core products to enhance our algorithms and build analytics for the travel industry. A typical data set consists of hundreds of million travel searches that turn into billions of travel recommendations (i.e. Terabytes) every day.

Main Responsibilities:

Back in the days most airlines accepted to connect their flights and fares with each other. With the emergence of alliances and low cost carriers many players cannot be part of the same ticket anymore. Some OTAs (Online Travel Agencies) thus started the new business named “Virtual interlining”: selling several tickets for a single trip (and bundling them with insurances in case of missed flight).

Given the density of flights, choosing the best connection points between tickets is a challenge. The trainee will assist in building virtual solutions thanks to the billions of (real) travel recommendations that we collect every day. The trainee will then explore methods to mine the graph of solutions and define an optimal strategy/algorithm to return – in a reasonable amount of time – the best connecting points given a new trip request.

Requirements:

•Communication skills (English)

•Analytical mind

•Technical: Statistics, Python, Graph mining, Hadoop/Spark is a plus.

Please note that in accordance with French law, internships require a school agreement and that the applicant must be a registered student until the end of the internship.

Our diversity commitment: equality, diversity and inclusion are part of who we are. We’re committed to equal opportunities and treatment regardless of age, ethnicity, gender, beliefs, sexual orientation or disability.

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