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.
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 , 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:
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.
To be suitable for the internship, you:
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.
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.
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ASML works on improving reuse, sustainability, and cost efficiency across global operations, particularly in the reverse supply chain. They focus on reducing material consumption, lowering environmental impact, and preventing unnecessary new purchases.