Data Scientist / AI Consultant (m/w/d)

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Introduction A career in IBM Consulting is rooted in long‑term relationships and close collaboration with clients across the globe. You will work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground‑breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities

• Analysis, preparation and management of complex data sources
• Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in projects
• Writing programs to cleanse and integrate data efficiently and in a reusable manner
• Development of scalable and robust data and machine learning pipelines
• Application of traditional machine learning algorithms as well as modern deep learning approaches (such as GenAI)
• Implementation, integration and monitoring of AI / ML models
• Working in an agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours
• Documentation and communication with internal and external clients (e.g. business and IT departments) and stakeholders to understand and define business needs and appropriate modeling techniques to provide analytical solutions as well as presentation of proposed solutions and results
• Evaluating modeling results and communicating the results to technical and non‑technical audiences

Preferred Education

Master's Degree

Required Technical and Professional Expertise

• Strong fundamentals in Mathematics and/or Computer Science (algorithms)
• Proven knowledge and experience in
  • AI and ML frameworks (e.g. PyTorch)
  • GenAI and agentic AI architectures (RAG, agentic patterns, etc.)
  • AI governance and monitoring
• Strong ability to communicate with and coach senior executives, translating technical insights into business strategy
• Strong technical and analytical abilities, a knack for driving impact and growth, and experience with programming/scripting in Python
• Great at solving problems by looking at things differently, debugging, troubleshooting, and designing & implementing solutions to complex technical issues
• Thrives on teamwork and has excellent verbal and written communication skills
• Excellent verbal and written German language skills (C1 level)

Preferred Technical and Professional Experience

• Azure platform expertise, ideally with Azure Foundry and related AI/ML services
• Experience in DevOps and MLOps, including CI/CD pipelines, ML lifecycle management, and deployment
• Background in the chemical or process industry, with awareness of domain‑specific challenges and data
• Understanding of AI governance, safety, and ethical considerations
• Experience in consulting or client‑facing roles with a focus on value realization through AI
• Demonstrated ability to scale AI solutions from prototype to production and integrate across enterprise systems

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

IT Services and IT Consulting