Internship (d/f/m) within Data Science and AI

Job Description

Job Description:

In order to support the Data Processing & Analytics department, Airbus Defence and Space is looking for an

Intern within Data Science and AI (d/f/m)

Are you looking for an internship to validate your diploma? We offer you the opportunity to work in a world-leading company in its field, focused on digital technology, at the forefront of research and innovation!

• Location: Friedrichshafen
  
• Start: September 2026
  
• Duration: 6 months
  

Context:

You will join the Data Processing & Analytics department, a transnational department responsible for the development of data engineering solutions for Satellites with strong interactions with the engineering professions for space. The part of the organisation, where you will be working, has diverse profiles (data scientists, project managers, product managers, software developers, big data architects) which will help you onboard and understand the various aspects of data engineering and data science for space applications.

In addition, our data scientists are working on various topics including:

• Time series anomaly detection,
  
• Realizing Digital Twin concept with overall architecture concept and needed data pipelines
  Realisation of surrogate models in relation to different space professions,
  
• Mathematical optimization (design optimization, architecture, etc.)
  
• Natural language processing (NLP) and Large Language Models (LLM).
  
• Formalization of data iKnowledge Graphs providing context to the collected data
  

In this field, the team is working on several internal R&D projects and external initiatives in connection with innovative startups and space institutions, with the aim of meeting the internal needs of Airbus Defence and Space in terms of AI solutions.

Your location

At the Airbus site in Friedrichshafen you will be working on innovation where others spend their holidays. Enjoy panoramic views of Lake Constance while having lunch in our canteen. And after work, join one of our many corporate sports groups to go running, sailing or skiing.

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

Your tutor will support you identify your professional objectives and develop your skills

You will contribute to the following activities:

• State of the art on LLMs and RAG architectures, agentic workflows.
  
• Understand user needs, and definition of needed building blocks to correctly build and evaluate models and automate the process.
  
• Building the solution (python development, integrations into data platforms)
  
• Contributions to product roadmaps and internal R&Ds regarding AI.
  
• Implementation of the solution (Python development, integration into the platform)
  
• Testing of the solution with subject matter experts and successive iterations.
  

This internship will allow you to develop the following skills:

• Machine learning (generative AI, Deep learning)
  
• Advanced Python development.
  
• Space business comprehension
  
• Architecture of LLM systems and big data platforms
  

Your Boarding Pass:

You are studying data science, artificial intelligence, computer science, software engineering or a similar domain, and you will develop the following competences:

• Manipulation and data analytics in python
  
• Ontology Engineering
  
• Deep learning and LLMs frameworks (tensorflow, pytorch, transformers, langchain, ...)
  
• Software and big data platform architecture / RAG (vectorial databases, data security, user access, hardware ...), agentic workflows.
  
• Space business comprehension
  
• Curiosity, proactive, dedication to deliver
  
• Good presentation skills, ability to showcase work to various people (aerospace engineers, technical experts, data scientists, managers, project managers...)
  

Desired skills and qualifications

• Enrolled full-time student in the area of data science, artificial intelligence, computer science, software engineering or an equivalent field of study.
  
• Fluent in English. Negotiable in German.
  
• Manipulation and data analytics in python
  
• Ontology Engineering
  
• Deep learning and LLMs frameworks (tensorflow, pytorch, transformers, langchain, ...)
  
• Software and big data platform architecture / RAG (vectorial databases, data security, user access, hardware ...), agentic workflows.
  
• Space business comprehension
  
• Curiosity, proactive, dedication to deliver
  
• Good presentation skills, ability to showcase work to various people (aerospace engineers, technical experts, data scientists, managers, project managers...)
  

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

Company:
Airbus Defence and Space GmbH

Employment Type:
Internship
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Experience Level:
Student

Job Family:
Digital

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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@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.