Internship: Machine Learning to Integrate Competition data in Revenue Management

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 team isdeveloping Revenue Management solutions to Airlines. Revenue Management was introduced in the airline industry in the 60’s after the market was de-regularized. This is a field in constant evolution using state of the art scientific solutions coming from intense worldwide research work as well as the latest IT techniques to make possible the most complex algorithms.

An airlineRevenue Management Systemoptimize pricesbased on forecast of demand relying on historical data analysis. The forecasting technicsdoes not include any competition data information and take the assumption that the historical average behaviour of the competition will behave the same in the future.

Main Responsibilities
Amadeus is an enourmus source of data and shopping data from metasearchers or competition data from third parties are in the list of relevant data we have identified as one of the key elements to add in our models. The main objective of the internship is then to evaluate the importance of this information in our demand forecasts.

The intern would beresponsible toproposeand prototype, using the latest techniques on Artificial Intelligence (e.g. Deep learning), possible approaches tocomplement our models with competition data. A possible extension is to propose ways to integrate in the Customer Choice Modelling the competition data information to automatically scale up or down the demand forecast depending on the competition price.

Requirements
The candidate should becomfortable with applied mathematicstechniques.

The candidate should have knowledge on Machine Learning algorithms.

The candidate should have good communication skills.

The candidate should have a good level in English.

Any duplication and display of partial or full content of our job advertisement on any support, such as brochures, websites, mail, emails, this list is not exhaustive, is strictly forbidden without prior formal Amadeus’ authorisation.

Recruitment agencies:Amadeus does not accept agency resumes. Please do not forward resumes to our jobs alias, Amadeus employees or any other company location. Amadeus is not responsible for any fees related to unsolicited resumes.