Master Thesis Student. Procurement Analytics & Material Intelligence

We are looking for a Master thesis student with a background in business, chemistry/material science and data science to support a global procurement analytics initiative. The thesis will explore how technical material information such as SDS, PDS, specifications and item descriptions can be transformed into a structured Material DNA and linked with procurement data for clustering, benchmarking and negotiation support. The student will work on one selected pilot category, develop a first material intelligence framework, test clustering or data analysis approaches, and create practical outputs for procurement decision-making.