
Business Analytics | Data Science internship: AI-driven operations
Work Arrangement
Office Days per Week: 4 days
Key Skills
Job Description
Introduction
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.
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 , 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.
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 identify operational challenges and develop AI-driven prototypes or decision-support solutions to improve manufacturing performance. Additionally, you will analyze business processes and present data-driven recommendations to stakeholders across the organization.
Requirements
Candidates must be pursuing a master's degree or be a final-year bachelor's student in a relevant engineering or data-related discipline. Proficiency in data analysis and programming tools such as Python, SQL, or R 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!