INTERNSHIP DETAILS

Computer Science | Data Science internship: Quality dashboard development

CompanyASML
LocationEindhoven
Work ModeOn Site
PostedOctober 14, 2026
Internship Information
Core Responsibilities
The intern will develop and enhance quality dashboards using Python to transform engineering data into actionable insights. They will also collaborate with stakeholders to automate repetitive tasks and support continuous improvement activities.
Internship Type
full time
Company Size
37086
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

The Software Infrastructure & Common Systems team supports engineers by providing reliable software solutions and data-driven insights. As part of the Test & Integration team, this internship contributes to improving quality visibility and decision-making through engineering dashboards. During this internship, you will help transform complex engineering data into clear, actionable insights for stakeholders across the organization. You will work on real-world software and data challenges while contributing to solutions that are actively used by engineering teams. This internship offers the opportunity to combine software development, data visualization, and stakeholder collaboration in a high-tech environment.


Your assignment

As an intern, you will help maintain and enhance dashboard solutions that support engineering quality and performance monitoring. You will collaborate with engineers and stakeholders to improve existing visualizations, develop new features, and identify opportunities for automation. Through this internship, you will gain hands-on experience working with large datasets and professional software development practices. Your main responsibilities will be:

  • Develop and improve quality dashboards using Python-based technologies.
  • Create new dashboard features that address engineering and business needs.
  • Transform and visualize engineering data into meaningful insights.
  • Automate repetitive activities to improve efficiency and consistency.
  • Collaborate with stakeholders to gather requirements and propose solutions.
  • Support testing, deployment, and continuous improvement activities.
  • Create clear documentation to ensure maintainability and knowledge transfer.

This is a non-thesis bachelor/master internship for minimum 9 months, minimum 5 days per week (3 days on-site). The start date of this internship is as of February 2027.


Your profile

To be suitable for the internship, you:

  • Are pursuing a bachelor’s or master’s degree in computer science, software engineering, data science, artificial intelligence, or information technology.
  • Have experience with Python programming and software development fundamentals.
  • Have knowledge of data analysis, data visualization, and working with datasets.
  • Are analytical and able to interpret data to identify meaningful patterns and insights.
  • Communicate effectively and collaborate with different stakeholders.
  • Take a proactive approach to learning and solving problems.
  • Are interested in dashboard development, software quality, and engineering metrics.

This internship is ideal if you enjoy developing software solutions, working with data, and creating visualizations that help others make better decisions. During this internship, you will contribute directly to tools used by engineering teams while building valuable technical and professional skills. The internship provides coaching from experienced professionals and exposure to a large-scale high-tech environment where innovation and continuous improvement are part of everyday work.

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
PythonData AnalysisData VisualizationSoftware DevelopmentDashboard DevelopmentAutomationEngineering MetricsStakeholder CollaborationRequirements GatheringTechnical DocumentationSoftware QualityData Interpretation
Categories
TechnologySoftwareData & AnalyticsEngineeringScience & Research