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Data Science | Computer Science internship: proactive support analytics

Pay
Pay not listed
Work setting
Not stated
Employment
Part-time — employment source
Employment type in the employer’s posting: Part time
From the employer’s posting

What you’ll work on

Full posting
  • Analyze large datasets to find trends and early warning signals

  • Develop and improve predictive models using Python

  • Validate model performance and recommend improvements

  • Create data-driven insights that support proactive decisions

  • Present findings and recommendations to stakeholders

From the employer’s posting
Analyze large datasets to identify trends, patterns, and early warning signals.
Develop and improve predictive models using Python.
Validate model performance and recommend improvements.
Create data-driven insights that support proactive decision-making.
Present findings and recommendations to stakeholders.

What you’ll bring

All qualifications

Core experience

  • Pursuing a master's, or final phase of a bachelor's, in a related field
  • Experience with Python and SQL
  • Analytical and enjoys working with large datasets
  • Communicates clearly in English
  • Enrolled at an educational institute for the full internship
Qualification wording
Are pursuing a master's degree, or are in the final phase of a bachelor's degree, in data science, computer science, informatics, software engineering, or a related field.
Have experience with Python and SQL.
Are analytical and enjoy working with large datasets.
communicate clearly in English
You are enrolled at an educational institute for the entire duration of the internship
Education & alternatives
To be suitable for the internship, you: - Are pursuing a master's degree, or are in the final phase of a bachelor's degree, in data science, computer science, informatics, software engineering, or a related field. - Have experience with Python and SQL.
Apply at ASML Holding

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 20267 days ago
Recorded sightings
13
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

ASML Holding is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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  • Python
  • SQL
Where the posting names them
- Analyze large datasets to identify trends, patterns, and early warning signals. - Develop and improve predictive models using Python. - Create data-driven insights that support proactive decision-making.
- Are pursuing a master's degree, or are in the final phase of a bachelor's degree, in data science, computer science, informatics, software engineering, or a related field. - Have experience with Python and SQL. - Are analytical and enjoy working with large datasets.

Your next step

Complete your application on asml.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Introduction

The DUV Global Support Center (GSC) provides advanced support for ASML’s DUV platforms from locations in the Netherlands, Taiwan, and the United States. Within the Netherlands-based team in Veldhoven, this internship focuses on helping identify potential machine performance issues before they impact operations. By analyzing large datasets and developing predictive models, you will contribute to a more proactive support approach. This internship offers a unique opportunity to work with technical experts, gain insight into a global support environment, and make a measurable impact. If you enjoy solving complex data challenges, this internship could be a great fit for you.

Your assignment

During this Data Science | Computer Science internship: proactive support analytics, you will work closely with experienced engineers and data specialists to identify early warning signals in machine data. Your analysis and predictive models will help detect trends that indicate when systems may require proactive investigation. Depending on project priorities, you may also contribute to the improvement of diagnostic analysis capabilities.
Your main responsibilities will be:

  • Analyze large datasets to identify trends, patterns, and early warning signals.
  • Develop and improve predictive models using Python.
  • Create data-driven insights that support proactive decision-making.
  • Validate model performance and recommend improvements.
  • Collaborate with technical specialists to understand machine behavior.
  • Present findings and recommendations to stakeholders.
  • Contribute to additional data analysis or diagnostic improvement projects when applicable.


This is a bachelor/master internship for minimum 7 months, minimum 4 days per week (2 days on-site). The start date of this internship is early February 2027.

Your profile

To be suitable for the internship, you:

  • Are pursuing a master's degree, or are in the final phase of a bachelor's degree, in data science, computer science, informatics, software engineering, or a related field.
  • Have experience with Python and SQL.
  • Are analytical and enjoy working with large datasets.
  • Are proactive, curious, and eager to learn in a technical environment.
  • Work effectively with colleagues from different backgrounds and communicate clearly in English.


This internship is a non-thesis internship based in Veldhoven. A hybrid working arrangement is available, combining on-site collaboration with remote work. We encourage students who are motivated by data, technology, and continuous learning to apply for this internship. Please submit both your CV and a cover letter. In your cover letter, we would like to learn more about your motivation for this internship.


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.

Source details

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Pay

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Location & working pattern

Veldhoven, Netherlands

- Contribute to additional data analysis or diagnostic improvement projects when applicable. This is a bachelor/master internship for minimum 7 months, minimum 4 days per week (2 days on-site). The start date of this internship is early February 2027. Your profile
More source context
- Work effectively with colleagues from different backgrounds and communicate clearly in English. This internship is a non-thesis internship based in Veldhoven. A hybrid working arrangement is available, combining on-site collaboration with remote work. We encourage students who are motivated by data, technology, and continuous learning to apply for this internship. Please submit both your CV and a cover letter. In your cover letter, we would like to learn more about your motivation for this internship. Other requirements you need to meet:
Work authorization
- 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;
More source context
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.

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