Aeronautical engineer / Data analytics internship (H/F)

Description de l'offre

Aeronautical engineer / Data analytics internship (H/F)

Airbus Toulouse

Airbus is a global leader in aeronautics, space and related services. In 2016, it generated revenues of € 67 billion and employed a workforce of around 134,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe's number one space enterprise and the world's second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide.

Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space.

Description of the job

An internship offer entitled Engineer in aeronautics / data analytics (m/f) has just opened up within Airbus commercial aircraft in Toulouse.
You will join the Chief Engineering department in charge of developing the A320 single-aisle fleet. Within a
team of 6 people, you will actively participate in the management and analysis of aircraft data in order to contribute to improving product performance.

Internships at Airbus

Profil recherché

Tasks & accountabilities

You will contribute to the following key activities:

·  Compilation of global data relating to our single-channel aircraft fleet (performance, noise, manoeuvrability...)
·  Perform "as-is" analyses of databases that could be useful for aircraft architecture stand-point.
·  Propose improvements to data algorithms for the daily needs of the engineering department and customers or customer services

Required skills

·  Strong knowledge of aerial physics
·  Mastery of technical information tools with programming capabilities
·  Good level of data analysis
·  You are autonomous, rigorous and passionate
·  Language proficiency: Advanced level in English