INTERNSHIP DETAILS

Computer | Data Science internship: migration of Excel tooling into Python with GUI

CompanyASML
LocationVeldhoven
Work ModeOn Site
PostedMarch 23, 2026
Internship Information
Core Responsibilities
The main assignment involves migrating an extensive, macro-heavy Excel script into a new GUI built upon an existing internal Python reliability package. This includes understanding engineer needs, building a prototype interface, testing, piloting, and ensuring the final product adheres to PEP standards for maintainability.
Internship Type
full time
Company Size
35799
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Who are we? ASML is an innovation leader in the global semiconductor industry. We make machines that chipmakers use to mass produce microchips. Founded in 1984 in the Netherlands with just a handful of employees, we’ve now grown to over 40,000 employees, 143 nationalities and more than 60 locations around the world. What do we do? We provide chipmakers with hardware, software and services to mass produce patterns on silicon through lithography. Our lithography systems use ultraviolet light to create billions of tiny structures on silicon that together make up a microchip. We push our technology to new limits to enable our customers to create smaller, faster and more powerful chips. Who are our people? While you may think that only engineers and mathematicians work at ASML, you'll be surprised to find out that our people come from a wide variety of backgrounds. Across ASML, we have dedicated teams that manage customer support, communications and media, IT, software development and more. Every team in the company is essential for pushing our technology and the industry forward. If you love to tackle challenges and innovate in a collaborative, supportive and inclusive environment with all the flexibility and freedom to unleash your full potential, ASML is the place to be. Join us!
About the Role

Introduction

ASML is developing state-of-the-art technology for the semiconductor industry. Reliability of our systems is of key importance to our customers. Accurate reliability insights from field data contribute to a wide range of activities, such as stocking planning, service contracts, and design improvements. To enable our engineers to perform analyses fast and efficiently, we have an in-house developed library in python to perform flexible deepdives with a very specific scope depending on the requirements. Currently this library allows experienced engineers to quickly support reliability goals and support other departments with the gained insights by use of Jupyter-notebooks. This library furthermore standardizes the WoW in cleaning and manipulating our data sources, while at the same time reducing the maintenance effort.
 

Your Assignment

One of our operational projects is still relying heavily on an extensive Excel script with many macro's behind it, make it slow in processing and not future-proof. The already available and internally developed python reliability package provides all data processing steps and the majority of the required interfaces to build a GUI which can be used by engineers without requiring detailed programming skills. This project will focus on migrating the old excel file into the Python package. There are several steps for the internship:

  • Talk with the engineers to understand the workings and operational needs of the existing Excel file, and draft a list of requirements for all functionalities needed (and desired in the future);

  • Build a prototype interface based on the existing package, and implement possibly missing elements;

  • Test and pilot the new prototype, and update based on feedback from the engineers;

  • Ensure maintainability of prototype by conforming to common PEP (Python Enhancement Proposals) standards like: overall documentation, type hints, docstring, test cases, etc.

  • Depending on remaining time additional improvements and enhancements can be implemented inside the package as well.

This is a Master internship for around 6 months, working 4-5 days per week. This assignment is not suitable for a thesis. The start date is as soon as possible.

Your Profile

To be a fit for this assignment, you:

  • Are busy with your master's in Data Science or Computer Science;

  • Are interested in the topic, motivated and curious;

  • Are proficient in Python and object-oriented programming;

  • Have some experience with or strong interest in GUI development.

  • Have interest in interacting with internal customers/engineers;

  • Have good communication skills in English (verbal and written).

 

Other requirements you need to meet:

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

  • You are located in the Netherlands to 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).

This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

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.

Need to know more about applying for a job at ASML? Read our frequently asked questions.

Key Skills
PythonObject-Oriented ProgrammingGUI DevelopmentData ScienceComputer ScienceExcel MigrationJupyter NotebooksData ManipulationDocumentationType HintsTest Cases
Categories
Data & AnalyticsSoftwareScience & ResearchEngineering