Data Scientist

About UmicorePowering 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 & DevelopmentDriving 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.What You Will Be DoingWe are currently looking for a Data Scientist, specialized in AI/ML to join Umicore's corporate data science team in Olen. In this role you'll be working on complex, diverse datasets for our various Business Units. You'll focus on extracting insights from experimental and process data, including time-series, imaging, and structured databases, to support projects such as battery material optimization.Responsibilities Technical delivery: Lead and execute the technical development of AI/ML solutions in high-impact, strategic projects across Umicore - from data exploration to building and validation of advanced machine learning models. Strategic involvement: Provide technical vision and thought leadership, inspiring both technical and non-technical stakeholders on the transformative potential of AI. Mentorship: Act as a technical coach and mentor for junior data scientists and contribute to the overall skill development within the team.. Collaboration & communication: Work closely with an international team of diverse backgrounds, including engineers, product managers and other stakeholders to integrate AI solutions into production processes and ensure ongoing improvements. Work with stakeholders across the organization to identify opportunities and carve out a technical approach to achieve business targets Continuous improvement: Stay up-to-date with AI advancements and promote best practices in responsible and effective AI use. Requirements Who we are looking for PhD (preferred) or Master’s degree in AI, combined with engineering, sciences, or applied mathematics. 8+ years applied data science / ML experience (industrial/IOT data preferred), with track record from prototype to production Recognized expertise in a broad set of AI/ML approaches and techniques, e.g., clustering, decision trees, neural networks, advanced statistical methods. Good understanding of the specific needs of large manufacturing companies Demonstrated coding skills in Python. Understanding of cloud deployment; experience in Azure Databricks, MLflow, and Azure Machine Learning is preferred. Fluent English (both written and spoken) Good internal & external networking skills. Ability to understand business unit strategy and priorities relevant to the projects. Functional leadership skills to guide Associate Scientists and their teams towards successful execution of their projects. Creativity in science and technology. Target oriented Planning and organization skills Strong oral and written reporting skills What We OfferWe aim to lead the way. Not just for our customers, but for our employees too. That is why we strive to create a collaborative environment in which we can all succeed, and a culture through which we can all share ideas, develop our expertise and advance our careers. We engage in building an inclusive work culture that offers equal opportunities for all employees irrespective of their diverse backgrounds. As you would expect from a world-leading organisation, we will also reward your contribution with a competitive salary and benefits. With all this and more, imagine what you could do? If our pioneering research can drive our progress in clean mobility, IMAGINE WHAT YOU COULD DO?