VIE - Data Analyst/Data Scientist within production (d/f/m)

Job Description:

In order to support the Digital Transformation within the Industrial Site Donauwörth, Airbus Helicopters is looking for a

VIE - Data Analyst/Data Scientist within production (d/f/m)

You are a highly motivated graduate (d/f/m) and want to get to know the work of a Data Analyst/Data Scientist (d/f/m)?  Then apply now! We look forward to you supporting us in the Digital Transformation department as a Volunteer for International Experience.

• Location: Donauwörth

• Start: as soon as possible

• Duration: 24 months

Definition VIE

The Volunteer for International Experience (VIE) program is an international program sponsored by the French Ministry of Economy, Finance and Employment, open to Airbus to offer young professionals the opportunity to have valuable paid work experience abroad in a technical or business function. We are looking for highly motivated graduates aged 18 to 28 years, who are citizens of the European Union (all E.U. nationals, plus Norway, Iceland and Liechtenstein). Candidates meeting these criteria and interested in a VIE, please register before your 28th birthday on the website www.civiweb.com. For graduates who would be interested in a career with Airbus, this could be the start of a rewarding future in a dynamic and forward-thinking sector.

Your location

At our Donauwörth site, located on the banks of the river Danube, we develop helicopters from the initial idea to the airworthy product. Watch them take off and touch down on our own on-site test airfield.

Your benefits

• Work-life balance with a 35-hour week (flexitime).

• 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

• Applying ad-hoc Data Analytics to get insights on production activities and share the results with relevant stakeholders.

• Identification of use case in the context of big data, AI and digitalization.

• Deploy AI Use cases using Red Hat Openshift platform.

• Specify and develop reportings in close collaboration with the business.

• Replacing Excel base “Business Owned tools” by state of the art and fully automatized solutions using Palantir Foundry, Redhat OpenShift AI  and TIBCO Spotfire.

 

 Desired skills and qualifications

• University degree in the area of Data Science, Computer Science, Mechanical Engineering (with a focus on Data Science/AI) or an equivalent field of study.

• Team player.

• Good communication skills.

• Innovative mindset. Continuously seeking for improvements.

• Advanced knowledge in programming (preferable Python, Pyspark, SQL).

• Good foundation in machine learning and big data (e. g. sklearn, Pytorch, etc.).

• Fluent in English language. Basic German skills.

 

Please upload the following documents: cover letter, CV, relevant transcripts, letters of reference. 

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.

Company:

AIRBUS HELICOPTERS DEUTSCHLAND GmbH

Employment Type:

VIE, VISC

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Experience Level:

Entry Level

Job Family:

Digital <JF-IM-DI>

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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@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.