Data Scientist (GenAi)

About Umicore Powering the cars of today and tomorrow. Reducing harmful emissions. Giving unique properties to high-end applications. Giving new life to used metals. As a global advanced materials and recycling group, we develop, produce, and recycle materials for a better life. About Corporate Research & Development Driving progress through research. Providing material solutions for the world’s most pressing challenges and anticipating the needs of our customers requires a high level of investment in research. Umicore’s Group Research capabilities focus on new materials and processes to address the megatrends of resource scarcity and clean mobility. The nature of research and development means that we cannot stand still. We need to find new ways to do things, discover new solutions and develop new ideas. Which is where you come in. Your Key Accountabilities Delivers expert work in General R, D & I with high quality and timeliness, applying best practices and standards. Executes research projects within program, applying knowledge and expertise.- Builds knowledge and expertise within core competence subdomains. Owns complex tasks in project management and chemical or process engineering, producing accurate outputs and identifying risks or anomalies proactively. Analyzes problems, recommends options, and implements improvements in methods, tools, or data flows. Collaborates with adjacent teams and stakeholders, communicating insights and recommendations clearly. Collaborates cross-functionally to deliver high-quality outcomes and knowledge sharing. Contributes to continuous improvement by identifying and implementing process enhancements. Who we are looking for Education & Experience Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science or a related field  Minimum 3 years of experience developing industrial, agentic systems.  Demonstrated experience delivering at least one custom Generative AI application that goes significantly beyond basic document processing or retrieval  Experience working directly with business stakeholders and domain experts  Industrial or academic background in chemistry, materials science, process technology or automotive applications is considered a strong asset Technical Competencies Strong practical expertise in Generative AI and Large Language Model technologies.  An industrial or educational background in material sciences, research or chemical industry is a big plus.   Experience designing AI agents, multi-agent architectures and tool-enabled AI systems  Knowledge of Retrieval-Augmented Generation (RAG), knowledge grounding and trustworthy AI design principles  Experience integrating multiple information and data sources into a unified AI solution Strong software engineering and Python programming skills  Ability to evaluate emerging AI technologies and translate them into practical business value …