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.

Qualifications :

• Current Master studies in a relevant field e.g. Business Chemistry Chemical Engineering Industrial Engineering Data Science Business Analytics or similar.
• Good understanding of Chemistry Materials or technical product specifications.
• Strong analytical thinking and interest in procurement supply markets and business impact.
• Basic to good data science skills e.g. Python data cleaning clustering text analysis machine learning or data visualization.
• Ability to translate technical information into business-relevant insights.
• Structured working style and ability to handle incomplete or imperfect data.

Additional Information :

We offer competitive salaries aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Remote Work :

No

Employment Type :

Intern

Experience: years
Vacancy: 1