Graduate Program - Innovation Impact -R&D Data Scientist Chemistry (d/f/m)

About the Innovation Impact Program Our 18-month Graduate Program starts on October 1st, 2025, at our Henkel Adhesive Technologies Innovation Center in Düsseldorf. You will be part of an exciting development journey, where you will receive a permanent contract from day one, relocation support, and hands-on experience across various innovative technologies. Upon completion, you will have the opportunity to transition into global roles within Henkel's innovation network. What you´ll do Partner with product developers and application engineers as part of our R&D team in Düsseldorf, Germany to understand technologies, data collection processes, and challenges driving the digital transformation within R&D Design and conduct data analysis projects to identify trends and patterns in formulation data sets, and build and deploy machine learning models to predict formulation performance, stability, and quality Collaborate closely with R&D colleagues to translate data insights into new formulations, product development decisions, and application processes - optimizing R&D workflows Develop and maintain data visualization dashboards to effectively communicate insights to technical and business stakeholders Leverage your digital skillset to drive awareness and application of data-based decision-making and digital tools across R&D Support the digital transformation of R&D by implementing data-driven workflows for process development and knowledge management What makes you a good fit You have recently completed, or are about to complete, a Master's or Ph.D. that combines a strong foundation in Chemistry, Engineering, or Materials Science with Data Science, Physics, Computer Science, or a related analytical field—for example, a Bachelor's in a natural science and a digitally focused Master's, or interdisciplinary studies that enable you to understand both lab-based R&D and data-driven approaches You bring first hands-on experience with data analysis and modeling in scientific or engineering contexts, and have a strong grasp of statistical methods and machine learning algorithms (e.g., regression, classification) You are proficient in data tools such as Python or R, DoE software like Minitab or JMP, and data visualization platforms (e.g., Excel, Power BI, Tableau); experience with IoT, finite element analysis (FEA), and computational fluid dynamics (CFD) is a plus You are interested in working in a laboratory environment, motivated to learn about formulations, product development, and R&D workflows, and keen to apply your skills in a hands-on setting You enjoy collaborating with non-digital colleagues, and can confidently explain digital tools and data concepts in a simple, practical way to support their daily work You are interested in growing your career in Henkel's global Innovation network, with relocation as one possible path after the program. Proficiency in English is essential, as you will work in an international environment

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, generations and disabilities. If there are any specific accommodations or adjustments you require for the interview process or your on-site appointment, please inform us, and we'll do our best to accommodate your requests.