Business Analytics | Data Science internship: AI-driven operations

The Business Engineering team within Operational Excellence supports manufacturing and operational organizations in improving performance, resource utilization, and decision-making. As part of this team, you will help explore how artificial intelligence and advanced analytics can solve real operational challenges in a high-tech manufacturing environment. This Business Analytics | Data Science internship: AI-driven operations offers the opportunity to work directly with stakeholders, analyze complex processes, and develop practical solutions that create measurable impact. You will contribute to turning operational data into actionable insights while supporting continuous improvement initiatives across the organization.

• Location: Veldhoven, Netherlands
• Team: Interns and Trainees
• Work experience: 0-1 year
• Educational background: Computer Science
• Educational background: Other technical backgrounds
• Educational background: Other non-technical backgrounds
• Travel: No
• Programming languages: Python
• Workplace type: Hybrid
• Fulltime/parttime: Full time

Your assignment

As an intern, you will join the Business Engineering team and contribute to projects that combine operational excellence, data analytics, and artificial intelligence. During this internship, you will investigate operational challenges, develop proof-of-concept solutions, and assess how these solutions can be scaled and embedded into daily operations. You will interact with business stakeholders, operational teams, and analytics specialists to ensure solutions deliver practical value. Your main responsibilities will be:

• Identify operational challenges that could benefit from AI or advanced analytics solutions.
• Analyze business processes, operational data, and stakeholder needs.
• Translate business questions into structured analyses and data-driven recommendations.
• Develop and test AI-driven prototypes, forecasting models, or decision-support solutions.
• Evaluate proof-of-concept solutions and assess industrialization opportunities.
• Present insights, findings, and recommendations to stakeholders across the organization.
• Document outcomes and support knowledge transfer within the Business Engineering team.

This is a bachelor's/master's (non-thesis) internship for minimum 5 months, minimum 4 days per week (preferred 4 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, or are a final-year bachelor's student, in industrial engineering, data science, applied mathematics, operations management, business analytics, computer science, or a related engineering discipline.
• Have an analytical approach and enjoy translating complex challenges into structured solutions.
• Have experience with data analysis and programming tools such as Python, SQL, R, or business intelligence platforms.
• Are collaborative and can effectively engage with different stakeholders, from operational teams to technical specialists.
• Are proactive, curious, and comfortable working on open-ended problems with practical business impact.

The internship is ideal for students who enjoy combining technical analysis with business understanding. Throughout this internship, you will gain exposure to operational decision-making, stakeholder management, and applied AI in a complex manufacturing environment.

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.