Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) | Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) (f/m/d)
Siemens AG
Job Summary
This Consultant role focuses on developing, operationalizing, and scaling advanced AI models for complex industrial applications, driving digital transformation for clients. Day-to-day responsibilities include collaborating on cross-functional projects, engaging directly with clients to translate business needs into technical solutions, and developing AI models for analyzing large-scale industrial data (e.g., sensor data, machine logs). The consultant will take ownership of software components, ensuring reliability and scalability within integrated OT/IT environments, and communicate technical results to stakeholders across all seniority levels. Key qualifications include an excellent university degree in a relevant technical field (e.g., Computer Science, Data Science), practical experience in consulting or industrial tech, and strong hands-on expertise in Python, Data Warehousing (Snowflake), and Cloud Platforms (Azure). This position is attractive due to its focus on cutting-edge Industrial AI, project-related travel to customer sites (manufacturing plants, energy facilities), and the opportunity to drive significant impact in critical industrial areas like Predictive Maintenance and Digital Twins.
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 a consultancy, industrial or 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
Additional
- Enjoyment of project-related travel and work at customer sites (manufacturing plants, energy facilities, smart infrastructure projects).
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