Data science internship at PLM business intelligence

Introduction

ASML is facing challenges in high Excess & Obsolescence (E&O) risk in our dynamic environment. One of the significant challenges we face is the lack of visibility into which overplanned materials have a high risk of actual E&O impact. Often, these materials are overplanned due to administrative mismatches or can be repurposed without impacting E&O costs.

We have conducted a preliminary Proof of Concept (PoC) using ensemble regression models, which demonstrated potential in predicting the remaining lifetime of materials. We believe there is a significant opportunity to predict E&O impact for overplanned materials, ensuring Product Lifecycle Management (PLM) Project Coordinators (PCs) focus on high-risk materials more effectively.

Your assignment

We are a Business Intelligence and Analytics team within the Product Lifecycle Management (PLM) department, and we are seeking a motivated (graduate) intern to join our team and research the topic of reducing E&O costs through material lifetime prediction. The primary goal of this internship is to develop or improve the existing material lifetime prediction model to accurately predict the moment a material becomes E&O, thereby enabling proactive management and mitigation of associated risks.

During this graduation assignment, you will:

• Develop or refine the existing material lifetime prediction model.
• Investigate use cases for the material lifetime prediction model.
• Calculate the potential business value of the model based on the use cases.
• Come up with actionable recommendations for implementing the model, focusing on minimizing risks, improving efficiency, and maximizing business value.
   

This is a Master graduation internship for 6 months, starting in September 2025.
 

Your profile

• You are a Master student in Data Science/AI/Econometrics/Mathematics
• Analytical Skills: Ability to analyze data and identify patterns, trends, and insights
• Programming Skills: Proficient in Python (required). Additional knowledge of programming languages such as R, or similar, for data analysis and model development is a 'nice to have'.
• Machine Learning: Experience with machine learning algorithms and tools, especially for predictive modeling.
• Data Visualization: Ability to create clear and informative visualizations to communicate findings effectively.  

If you are interested in this exciting opportunity to make a tangible impact on our E&O cost management, please apply with your resume and a cover letter detailing your relevant experience and motivation for this internship.

Other requirements you need to meet

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

• You need to be located in the Netherlands to be able to perform your internship. In case you ‘re 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). 

Diversity and inclusion

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 diversity and inclusion is a driving force in the success of our company.

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