Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) | Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) (f/m/d)

Siemens AG

München, Bayern, Deutschland
Published Jan 15, 2026
Full-time
No information

Job Summary

This Consultant role focuses on developing and operationalizing advanced AI models for complex industrial applications across critical sectors like Predictive Maintenance, Process Optimization, and Industrial IoT analytics. Day-to-day, you will collaborate on cross-functional projects, engaging directly with clients and domain experts to translate operational needs into technical solutions, and designing scalable AI architectures within OT/IT integrated environments. A key responsibility involves taking ownership of software components to ensure reliability and scalability. The ideal candidate possesses an excellent university degree in a quantitative field and relevant practical experience in data science, cloud architecture (Azure/Snowflake focus), and hands-on expertise in Python and ML/AI frameworks. This position is attractive due to its focus on cutting-edge Industrial AI, the opportunity to work on challenging customer sites globally, and the chance to communicate AI's impact to stakeholders across all seniority levels.

Required Skills

Education

Master's, Diploma, or PhD in Computer Science, Mathematics, Physics, or related fields with a strong background in data science, machine learning, or data engineering.

Experience

  • Relevant practical experience through at least two internships in consultancy, industrial/tech company, or a start-up
  • Proven track record of excellence in consulting with data science, data engineering, and cloud architecture
  • Hands-on experience designing, developing, and deploying AI applications in operational or industrial environments
  • Experience across the full data science lifecycle, including ML Ops

Languages

English (Fluent)

Additional

  • Willingness to undertake project-related travel to customer sites (e.g., manufacturing plants, energy facilities).