Data Science | Computer Science internship: Measurement analysis framework

ASML Holding; Eindhoven; Hybrid; EUR 7,800 - 11,000; Full time

Job summary

ASML Holding invites applications for a bachelor/master internship in Applied Data Science. You will help develop a prototype framework guiding users from measurement questions to structured and validated analysis workflows, built for scalability and future AI-enabled solutions.

You'll work on data intake, analysis planning, validation, and reproducible reporting, collaborating with domain experts. Start date February 2027; 6-month duration with on-site days and a flexible early start if

Qualifications

• Pursuing a bachelor’s or master’s in Data Science, AI, CS, or a related field.
• Experience with Python and structured software development.
• Knowledge of data analysis, statistics, and ML concepts.
• Analytical and able to work with complex datasets.
• Proactive communicator of technical findings.
• Experience with Git and reproducible development practices.

Responsibilities

• Define a structured analysis specification for measurement studies.
• Develop a prototype for data intake and data structure inspection.
• Build workflow selection mechanisms based on analysis objectives.
• Implement validation checks to assess data quality and analysis suitability.
• Create reproducible reporting and workflow archiving functionalities.
• Demonstrate the framework using representative measurement-analysis cases.
• Collaborate with domain experts to translate analytical requirements into practical solutions.

Skills

Python

Data Analysis

Machine Learning

Analytical Skills

Communication

Education

Bachelor's or Master's in Data Science/AI/CS or related

Tools

Git

Jupyter

Job description

Introduction

The Applied Data Science team develops reliable artificial intelligence and machine learning solutions for ASML products and services. We work closely with domain experts to turn engineering knowledge into data-driven solutions that improve system performance, diagnostics, and maintenance. In this internship, you will contribute to the first phase of an innovative measurement analysis framework that helps translate measurement-related questions into structured and reproducible analysis workflows. Your work will support the development of scalable analytical solutions that can be expanded into future intelligent decision-support systems. This internship offers a unique opportunity to combine software engineering, data science, and machine learning in a highly innovative environment.

Your assignment

As ainternship student, you will help develop a prototype framework that guides users from measurement-related questions to structured and validated analysis workflows. You will focus on creating a modular system backbone that supports data intake, analysis planning, validation, and reproducible reporting. The framework should be scalable and designed for future extensions, including advanced modeling capabilities and intelligent user interaction. Your main responsibilities will be:

• Define a structured analysis specification for measurement studies
• Develop a prototype for data intake and data structure inspection
• Build workflow selection mechanisms based on analysis objectives
• Implement validation checks to assess data quality and analysis suitability
• Create reproducible reporting and workflow archiving functionalities
• Demonstrate the framework using representative measurement-analysis cases
• Collaborate with domain experts to translate analytical requirements into practical solutions

This is a bachelor/master internship for minimum 6 months, minimum 5 days per week (3 days on-site). The start date of this internship is as of February 2027, but an earlier start date is also possible.

Your profile

To be suitable for the internship, you:

• Are pursuing a bachelor's or master's degree in Data Science, Applied Statistics, Computer Science, Artificial Intelligence, Engineering, Applied Mathematics, or a related field
• Have experience with Python programming and developing structured software solutions
• Have knowledge of data analysis, statistics, and machine learning concepts
• Are analytical and comfortable working with complex structured datasets
• Are proactive and able to communicate technical findings clearly
• Have experience with version control tools such as Git and reproducible development practices

Thisinternship is ideal if you enjoy building practical analytical systems, combining software engineering with data science, and creating solutions that can be used by engineering teams. During this internship, you will gain experience in developing scalable analytical frameworks while working alongside experts in data science and engineering. The internship offers hands-on experience in an innovative and collaborative environment where your work can contribute to future AI-enabled solutions.

Other requirements you need to meet:

• You are enrolled at an educational institute for the entire duration of the internship, and you are at least 18 years old at the start of the internship;
• 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);
• You attach your cover letter with a clear motivation on 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 application shows the willingness to relocate.

Inclusion and diversity

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.

Do you want to know more about the internship allowance, visa support and applying for an internship at ASML? Read this page.