Internship: Study on Airline Traffic Repartition Optimization

Description de l'offre

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.

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 agent websites.

In the Product Solution & Quality department, the Airline Search and Shopping department is responsible for designing the right solutions for our Search and Shopping products for Airlines and delivering them with the best quality.

Main Responsibilities:

Part of the team activity is to provide high quality support to our customers, the airlines. In this scope we need to help airlines understand how they use our products and more important how they could improve this usage to maximise the revenue they get from ticket sales on their own website. On top of it from an Amadeus perspective we need to ensure that advice provided to the airlines are also cost effective from our perspective.

We are delivering a new technology to airlines based on batches processes. Those new process are more costly than traditional transactional searches. To improve the usage of those products we would need to study what would be the best repartition of traffic for an airline between those batch processes and the standard/historical transactional process.

Purpose of the internship would then be:

- To study the split (Batch vs Transactional) proposed by the airlines. To do so an existing statistic tool could be used and/or enhanced. These are TeraBytes to dig into with our Big data infrastructure (Hadoop, Spark). Extracted data can be then analysed with traditional data analytics tools (R, Pandas…)

- To study the performance of both Batch and Transactional search based on quality measure or value it brings to the customer.

- To help the team to extrapolate those outcomes into a cost management perspective. This aims at replying to cost evolution depending on the repartition of traffic between both batches and transactional search. Cost being mainly focus on CPU impact compare to the volume of data.

The outcomes of the training would be recommendations provided on the above elements.

This training will be in close collaboration with product management teams (Business oriented), Product definition team and development team.

Requirements:

· Communication skills (English)
· Analytical mind
· Energetic and pro-active spirit
· Curiosity: willingness to dig into details
· Technical skills would be a plus:
· Hadoop, Spark, R, Pandas,…
· Java, Python knowledge

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