Data Science internship: reuse decision optimization

Join ASML’s Reuse & Repair – Reverse Supply Chain Management Scheduling team and help us drive sustainability. Our mission is to achieve net-zero supply chain emissions and zero landfill waste by 2030. We focus on repairing, reusing, harvesting, and recycling materials to reduce waste and prioritize reuse over buying new items. By joining us, you will contribute to smarter reuse strategies and help us make decisions faster and more effectively.
 

You will work on optimizing our global reuse decision process. Today, this process relies on a complex algorithm that evaluates thousands of materials each month. It considers multiple reuse options, such as direct reuse, harvesting, or repair, and uses extensive master data. However, human feedback remains essential. Your project will analyze this feedback loop and explore how machine learning can improve decision-making.

Your main responsibilities will be:

• Analyze stakeholder feedback and identify patterns in reuse decisions.
• Develop a machine learning model to predict reuse decisions based on historical data.
• Compare the new model with the current algorithm and highlight key differences.
• Provide insights into decision drivers and discrepancy factors.
• Recommend improvements for future reuse decision-making processes.
• Document findings and present results to the team.
• Collaborate with planners, data analysts, and business consultants to implement solutions.

This is a master’s apprentice or a thesis internship for a minimum of 6 months, 5 days per week (4 days on-site). The start date of this internship is as of 01-02-2026

To be suitable for the internship, you:

• Are pursuing a master’s degree in operations management and logistics, industrial engineering, data science, or software engineering.
• Have strong programming skills in Python, including machine learning libraries.
• Preferably have experience with SQL and analytics tools such as Databricks, Power BI, or Spotfire.
• Are analytical, proactive, and comfortable working with large datasets.
• Enjoy collaborating in a team and have a solution-oriented mindset.

Other requirements you need to meet:

• You are enrolled at an educational institute for the entire duration of the internship;

• Attach your cover letter with a clear motivation why you are interested in this internship assignment in particular;

• You need to be located in the Netherlands to be perform your internship. In case you are currently living/studying outside of the Netherlands, your CV/motivation letter includes the willingness to relocate.

• If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement).

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.

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