Internship Data Scientist (f/m/d) - Engineering Strategy & Make-or-Buy Optimization job opportunity at Airbus SE.

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DatePosted 13 Days Ago bot
Airbus SE Internship Data Scientist (f/m/d) - Engineering Strategy & Make-or-Buy Optimization
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Pattern: full-time
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loacation Donauwörth, Germany
loacation Donauwörth....Germany

Job Description: In order to support us in Engineering Strategy, Airbus Helicopters is looking for a Internship Data Scientist (f/m/d) - Engineering Strategy & Make-or-Buy Optimization Are you looking for an internship and want to get to know the work of a Data Scientist?  Then apply now! We look forward to you supporting us in Engineering Strategy as an intern (d/f/m)!  Location: Donauwörth Start: as soon as possible Duration: 3-6 months 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 Attractive salary and work-life balance with a 35-hour week (flexitime). A final thesis is possible after consultation with 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 Support Make-vs-Buy Decision Modeling: Assist in the quantitative analysis of engineering projects to determine the financial and operational viability of in-house production versus external subcontracting Drive the "Large Work Package" (LWP) Framework: Aggregate and clean technical data to help define and structure high-value work packages for subcontractors, ensuring engineering requirements are clearly translated into procurement specs Quantify Social Responsibility (CSR) Impact: Develop and maintain tracking tools to measure the progress of the "Disability Friendly Company" initiative, linking social KPIs to overall departmental performance Engineering Data Consolidation: Collaborate with engineering leads to extract, transform, and visualize raw project data, identifying cost-saving opportunities or efficiency gains within the supply chain Desired skills and qualifications Enrolled full-time student in the area of Data Science or an equivalent field of study First practical experience in the field of Make or buy Modelling is desirable Fluent in English, German would be advantageous Data Synthesis & Visualization Sills Good communication skills Industrial & Procurement Logic  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! Take your career to a new level and apply now online . 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: Internship ------- Experience Level: Student Job Family: Digital <JF-IM-DI> By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. 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@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.

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