Working Student within Quality, Digitalization and Procurement in Finkenwerder bei Airbus

Job Description:

In order to support the Procurement Operations Quality Conformance Management team, Airbus Operations is looking for a

Working Student within Quality, Digitalization and Procurement (d/f/m)

You are a full time student, looking for a working student position? Then apply now! We look forward to you supporting us in the Procurement Operations Quality Conformance Management team as a working student (d/f/m) with approx. 18 hours a week!

• Location: Hamburg

• Start: 01.05.2024

• Duration: 12 months

Definition working student

Working students are students who are enrolled at a University or some other institution of higher education, and who are employed in a reasonably long, fixed-term position parallel to their studies. This position must not be confused with an internship or with the possibility of writing a final thesis.

This employment usually takes place directly on the company's premises. A working student's main focus remains on their studies, which is why, during term-time, working students are not allowed to work more than 20 hours per week.

Working students therefore usually work near their place of study, so as to conveniently combine studying and employment.

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.

Finkenwerder

Are you wondering how you actually get from university to Airbus? Your working student position is at the Finkenwerder plant and you can take the ferry from Teufelsbrück to the Airbus ferry terminal and back to the university in the morning and at noon. Alternatively, you can take the ferry to Finkenwerder and then ride your bike for about another 15 minutes to the main entrance.

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

• Based on the stated or anticipated business needs, understand and perform their mapping into the problem space of statistics, machine learning and AI.

• Based on data modeling provided by IT, with a focus on business needs, extract and integrate both structured and unstructured data from various databases/data-stores with the help of Data Analysts; Analyze the statistical properties of the data and use the scientific methods to find adequate existing or create novel solution proposals based on statistics, machine learning of artificial intelligence techniques.

• Run controlled experiments to find the best solution. Implement the solution based on state of the art algorithms using best practices from software engineering.

• Create protocols for monitoring of the accuracy of models against business needs.

• Pro-actively contribute to the creation of and re-use of industrial-level AI solutions.

• Actively contribute and share best practices, findings, and techniques with the wider data community.

Desired skills and qualifications

• Enrolled full-time student (d/f/m) in the area of (Mechanical) Engineering, Data Science, or an equivalent field of study.

• Programming skills would be of advantage.

• AI and big data knowledge are desirable.

• Fluent in Englisch, good German skills would be beneficial.

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!

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