Internship Packaging Technologies

This internship position focuses on building a system that integrates machine learning (ML), physics-based modeling, and packaging science to predict packaging behavior during compatibility tests. The role is ideal for students interested in the intersection of data science, engineering, and real-world product performance. Key responsibilities include: Collecting, organizing, and sorting historical packaging test data from multiple sources. Analyzing and structuring test results to identify patterns and insights. Developing and evaluating machine learning models to predict packaging behavior.

Currently pursuing a Bachelor's or Master's degree in Packaging Science, Data Science, Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Basic understanding of machine learning concepts and algorithms.

Henkel is a global industrial and consumer goods company, operating in adhesives, beauty care, and laundry & home care sectors. This role focuses on eCRM strategy for its consumer brands in Europe.