Data Analytics | Computer Science internship: quality intelligence dashboard
Work Arrangement
Office Days per Week: 3 days
Key Skills
Job Description
Introduction
The Customer Support Logistics Quality department at ASML helps improve logistics quality and data quality across a global network of warehouses and customer locations. The Performance & Analytics team supports quality inspections, data-driven decision making, and continuous improvement initiatives that enhance customer satisfaction. In this Data Analytics | Computer Science internship: quality intelligence dashboard, you will help transform inspection and quality data into actionable business insights. You will contribute to the development of a consolidated dashboard that supports multiple user groups and enables more effective quality management worldwide. If you enjoy combining analytics, process improvement, quality management, and digital innovation, this internship could be an excellent opportunity.
Your assignment
During this internship, you will support the development of a unified analytics solution that combines multiple reporting functionalities into one user-focused dashboard. You will analyze inspection and operational data, explore opportunities for automation and AI-enabled improvements, and help stakeholders gain insights into quality performance across global logistics operations. Your work will contribute to preventive quality actions, improved decision making, and increased operational efficiency. Your main responsibilities will be:
- Design and develop a consolidated dashboard for quality and inspection reporting
- Visualize inspection volume flows across warehouses and customer locations
- Build scenario analysis capabilities to evaluate quality and cost impacts
- Analyze inspection and operational data to identify improvement opportunities
- Generate insights that support preventive quality actions and process improvements
- Explore AI-enabled and automation opportunities within quality management processes
- Collaborate with stakeholders to translate business needs into data-driven solutions
This is a master's (non-thesis) internship for minimum 5 months, minimum 4 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 master's degree in data analytics, computer science, operations management, systems engineering, process engineering, logistics engineering, or a related field
- Have experience with dashboard development, data analytics, or business intelligence projects
- Are analytical and able to translate data into actionable insights
- Are collaborative and comfortable working with international stakeholders
- Have experience with Python, Power BI, AI-enabled analytics tools, or similar data science technologies
The Data Analytics | Computer Science internship: quality intelligence dashboard offers the opportunity to gain hands-on experience within a global high-tech organization while contributing to meaningful quality improvement initiatives. Throughout this internship, you will work closely with experienced professionals and develop practical skills in analytics, quality management, process improvement, and stakeholder engagement.
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.
Core Responsibilities
You will design and develop a consolidated quality intelligence dashboard to visualize inspection data and support global logistics operations. Additionally, you will analyze operational data to identify improvement opportunities and explore AI-enabled automation for quality management processes.
Requirements
Candidates must be pursuing a master's degree in data analytics, computer science, or a related engineering field. Proficiency in dashboard development, data analytics, and tools such as Python or Power BI is required.
About ASML
Industry: Semiconductor Manufacturing
Company size: 10,001+ employees
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!