Consultant – Artificial Intelligence & Technologies; Data Science & Engineering

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

As a Consultant – Artificial Intelligence & New Technologies (Data Science & Engineering) (f/m/d), you focus on developing and operationalizing advanced AI models for complex industrial use cases.

• Access to Siemens share plans
• 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family
• 2 to 3 days of mobile working per week as a global standard
• Flexible training opportunities for both your professional and personal development that you can tailor to your interests

Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.

The individual benefits are subject to regulatory, contractual, or corporate conditions.

We are looking for consultant who is passionate about applying AI to real‑world operational challenges.

• Collaborate on cross‑functional projects with consultants, domain experts, and clients, to set the foundational layer for AI transformation and build scalable and reliable AI applications in critical industrial areas such as Predictive Maintenance, Visual Quality Inspection, Process Optimization, Digital Twins, Industrial IoT analytics, and Generative AI for engineering and manufacturing workflows.
• Engage with clients to translate complex operational and business needs into project approaches, technical solutions, and develop advanced AI models for the analysis of large‑scale and high‑dimensional industrial data (e.g., sensor data, machine logs, production parameters).
• Take ownership of software components, making them reliable and scalable within OT/IT integrated environments, and help design the overall architecture for industrial AI solutions.
• Communicate results to stakeholders of all seniority levels – from top management to plant operators & end users – ensuring clear understanding of AI’s impact on industrial processes.
• Stay current with the latest research and technology trends in Industrial AI, edge computing, and smart manufacturing to build state‑of‑the‑art data‑driven solutions.
• Enjoy project‑related travel and work on exciting challenges at our customer’s sites, often within manufacturing plants, energy facilities, or smart infrastructure projects.
• Education
• An excellent university degree (master/diploma/PhD) in computer science, mathematics, physics, or related fields with a strong background in data science, machine learning or data engineering.
• Experience & Skills
• Relevant practical experience through at least two internships in a consultancy, a renowned industrial or tech company, or a start‑up and a proven track record of excellence in consulting with data science, data engineering and cloud architecture, software engineering, industrial AI, or a related field.
• Profound knowledge of core data science & machine learning programming languages (Python), Data Warehousing & Engineering (Focus Snowflake) and Cloud Platform Expertise (Focus Azure).
• A high degree of curiosity, willingness to learn and innovate, social skills and team spirit.
• You possess hands‑on experience designing, developing, and deploying AI applications in operational or industrial environments (e.g., predictive maintenance, process optimization, IoT analytics).
• Strong hands‑on expertise in Python and common ML / AI frameworks.
• Experience across the full data science lifecycle, including ML Ops.
• You need to be able to apply your hands‑on experience from conceptual stage to ML/Ops. Consult and implement LLM and machine learning frameworks, interpret and benchmark, evaluate and tune algorithms to create best possible solutions for real business problems.
• Curiosity, willingness to learn, strong communication skills, and fluency in English.
• Ways of working
• You enjoy project‑related travel and work on exciting challenges at our customer’s sites, often within manufacturing plants, energy facilities, or smart infrastructure projects.

You are much more than your qualifications, and we believe in the potential of every single…