Data Analytics | Computer Science internship: quality intelligence dashboard

Location: Veldhoven, Netherlands

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.