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ASML

Data Science | Computer Science internship: proactive support analytics

ASML is hiring a Data Science | Computer Science internship: proactive support analytics. Level rates it ; you can apply on ASML.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Python, SQL and data analysis among its tools and skills.
  • ASML has 711 other open roles on Level.
  • Posted within the past week.

AI in this role

Internship focused on developing predictive models and analyzing machine performance datasets to support proactive support analytics.

pythonsql
data-analysispredictive-modelingmachine-learning

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.

How we rate this

Data Science | Computer Science internship: proactive support analytics at ASML rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisPredictive ModelingMachine learningPythonSQL

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where predictive modeling was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. What's a project where you used Python hands-on?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Predictive Modeling, Machine learning, Python, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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