Bewerbende mit Behinderungen erwünscht 👨‍🦽👨‍🦯🦻 Master student in the field of innovative business & data management (d/f/m)

Job Description:

In order to support the Airbus Cabin Engineering, Airbus Operations is looking for a

Master student in the field of innovative business & data management (d/f/m)

You are looking for a master thesis and want to get to know the work of a Business Manager (d/f/m)? Are you passionate about data and programming? Then apply now! We look forward to you supporting us in the Airbus Cabin Engineering as a master student (d/f/m)!

• Location: Hamburg
  
• Start: 01.09/10.2026
  
• Duration: 6 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

• Work-life balance with a 35-hour week (flexitime).
  
• Mobile working after agreement 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

• Aim of the master’s thesis: development of a tool for data analysis and workload prediction
  Having an overview of the current workload and the workload coming up in the future be able to plan accordingly and distribute workload warn early, if work can’t be completed on time
  
• Research, collection, analysis and sorting of data coming from several input sources (workload vs. available resources)
  
• Work scope definition, e.g. limitation to certain modules or other
  
• Assessment and analysis of potential risk, including diagnosis, prevention, solution and warnings.
  
• Compare tool prediction with reality implement improvements and optimization loops
  
• Work inflow control
  
• Apply company objectives to our business/team
  

Desired skills and qualifications

• Enrolled full-time student (d/f/m) in the area of Computer Science, Business Informatics, MBA or an equivalent field of study.
  
• Programming Skills:
  
  • Strong knowledge and experience in Python mandatory (including python libraries for statistics, machine learning, etc.)
    
  • Data analytics, data cleaning, data wrangling
    
  • Basic knowledge in Java Script, Spark, ...
    
• AI affinity and proficiency in prompt engineering mandatory
  
• Knowledge in estimation methods and statistics
  
• Basic understanding of economics, finances, resources planning is a plus
  
• MBSE is a plus
  
• Strong communication skills needed
  
• Fluent in German and English
  

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!

#MYCYM

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 Operations GmbH

Employment Type:
Final-year Thesis
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Experience Level:
Student

Job Family:
Support to Management

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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 [email protected] .

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.