Data & AI Scientist (f/m/d)

Shape the industry of tomorrow - today.

Something special is taking shape at the Siemens Technology Campus Erlangen (F80): one of Europe's most ambitious high-tech locations and, at the same time, an adaptive, autonomous and AI-driven factory where people and technology are reinventing production processes together.

As a Digital Lighthouse Factory and Customer Zero for Siemens' own digitalization portfolio, we are not only users of cutting-edge technologies - we help shape them. What is being created here in Erlangen will become a global blueprint for the production of tomorrow.

For this next step, we are looking for someone who sees optimization not as a purely theoretical model, but as a powerful lever for real factory performance - from production planning, material flow and capacity management to autonomous decision logic in live value streams.

Join our team - and actively shape what production will mean tomorrow.

What we offer you

• An attractive remuneration package
• 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family
• Flexible training opportunities for both your professional and personal development that you can tailor to your interests
• Diverse health and wellness offerings
• A work environment where you can contribute with your whole personality and truly feel like part of Siemens

• Develop next-generation decision intelligence solutions that optimize production, logistics, and resource planning.
• Build autonomous decision-making capabilities by combining AI, optimization, simulation, and digital twins.
• Turn complex operational challenges into scalable solutions that improve factory performance, resilience, and efficiency.
• Drive the adoption of autonomous, closed-loop planning and execution processes across the factory.
• Present and promote innovative solutions across Siemens, helping shape the future of AI-powered manufacturing.

• Education
• Degree in Data Science, Artificial Intelligence, Computer Science, Industrial / Mechanical Engineering, Mathematics, Logistics or comparable
• Experience & Skills
• Strong expertise in AI, machine learning, and mathematical optimization, with the ability to select and apply optimization, heuristic, and data-driven approaches based on business requirements.
• Experience in developing decision intelligence solutions, ranging from recommendation systems to automated and autonomous closed-loop decision processes.
• Proven track record in solving production and logistics optimization challenges, such as scheduling, resource allocation, material flow optimization, capacity planning, and disruption management.
• Experience with modern AI frameworks, as well as a solid understanding of large language models (LLMs) and agent-based architectures.
• Ability to translate requirements from production, logistics, planning, and business stakeholders into scalable algorithms, decision models, and operational solutions.
• Strong analytical and data-driven mindset, with experience validating models, measuring business impact, and continuously improving solution performance.
• Ideally, knowledge of simulation, digital twins, and factory data integration, including the interaction between shopfloor systems and enterprise applications.
• Ways of working
• You think systemically and combine analytical rigor with a deep understanding of manufacturing and logistics processes.
• You translate complex challenges into practical, scalable solutions that create measurable business impact.
• You drive innovation and support the adoption of AI-powered and autonomous decision-making in factory operations.
• You communicate complex technical concepts clearly and collaborate effectively across business and technical functions.
• Languages
• Business-fluent German and good English language skills.