Working Student Airline Science Model Validation and Verification (d/f/m)

Job Description:

Airbus Operations is looking for a

Every year we look for university students from around the world to join Airbus.  We need people with the aspiration, enthusiasm and the talent to help us move forward and to change the world and deliver our vision to pioneer sustainable aerospace for a safe and united world.
Above all you will have the opportunity to do your best work in an industry that is literally reshaping how we live in our world & if you are ready to join and be part of this journey please apply above.
You are a full time student, looking for a working student position?  Then apply now! We look forward to you supporting us as a working student (d/f/m) with approx. 18 hours a week! 

Location: Hamburg
Start: as soon as possible
Duration: 12 months

Your location
You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.

Your benefits

• Attractive salary and work-life balance with an 18-hour week (flexitime).

• A final thesis is possible after consultation with the department.

• Mobile working after agreement with the department.

• Traveling overseas or within Germany (team events) is possible after consultation and agreement from the department.

• International environment with the opportunity to network globally.

• Work with modern/diversified technologies.

• At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.

• Opportunity to participate in the Generation Airbus Community to expand your own network.

Your tasks and responsibilities
You will be helping the research activities of Airline Sciences as an Model Validation and Verification Engineering Intern and can expect to be involved in the following:  
Based on data modelling provided by IT, with a focus on business needs, extract and integrate both structured and unstructured data from various databases/data-stores.
Develop, test and implement the most suitable analytical models to identify meaningful patterns or trends from complex data sets and types.
Analyse and improve regularly the accuracy of models against business needs.
Communicate findings through effective and easy-to-understand data visualisations adapted to the audience.

Desired skills and qualifications

• Current student studying Bachelor or Master’s in Engineering or Data Science

• Specific experience or interests: strong interest in understanding the way airlines operate, the performance of aircraft and strong rigour in data analysis and understanding

• Strong verbal and written communication in our business language (English)

• A desire to work in a collaborative team environment, focused on driving future innovation

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate. 

Not a 100 match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply online now!

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom&64;airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.