Working Student Data Science & AI m/f/d

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Do you think in a data-driven way, code with passion, and want to create real value with AI? Then become part of Phoenix Contact. With us, you won’t just develop theoretical concepts—you’ll work on practical AI and data science solutions that make our products, processes, and services smarter and more efficient.

Empowering the All Electric Society – that’s our drive and our vision. To achieve this, we rely on smart technologies that have a sustainable impact. With a modern tech stack, an open mindset, and plenty of room for initiative, you can bring your ideas to life in an innovation-friendly environment.

If you’re excited about actively shaping digital transformation together with a dedicated team, we look forward to your application.

The weekly working time is up to 19 hours and can partly be fulfilled from your home office.

• You support our Data Science & AI team as well as various departments in implementing concrete use cases
• You actively contribute to integrating AI into our business processes – from the initial idea to the productive solution
• You develop new approaches for agent-based processes and apply your analytical skills effectively.
• You maintain existing AI solutions and participate in exciting projects in the fields of digitalization and automation
• You work with cloud platforms such as Microsoft Azure, use container technologies like Docker, and assist with orchestration using Kubernetes to develop scalable and robust AI solutions

• You are enrolled as a master’s student m/f/d in Data Science, Artificial Intelligence, Computer Science or a comparable field of study
• You have experience in software development with Python and ideally some initial exposure to large language models (e.g., OpenAI, Anthropic)
• You are passionate about AI, digitalization and innovative technologies – and have already gained some practical experience
• You have initial hands-on experience with cloud technologies (e.g., Azure) as well as containerization (Docker) and orchestration (Kubernetes)
• You enjoy working in a team, communicate confidently in German and English, and bring initiative and a sense of responsibility.

• Flexible Arbeitszeiten:

  Variable Arbeitszeiten mit Gleitzeitkonto

• Work-Life-Balance:

  IG Metall Tarifvertrag, 35 Stundenwoche, flexible und individuelle Arbeitszeitmodelle, 30 Urlaubstage im Jahr

• Bildung und Entwicklung:

  LinkedIn Learning, internes Weiterbildungszentrum, Entwicklungsmöglichkeiten, digitale Bibliothek