Business Analytics | Technology Management internship: AI enablement

ASML

Veldhoven

On-site

EUR 6,700 - 10,000

Part time

9 days ago

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Job summary

ASML’s IT R&D AI Enablement Team invites master's students to join a non-thesis internship for a minimum of 6 months, with at least four days per week (three on-site). You will help assess the business value of AI initiatives and support strategic decision-making in a high-tech environment.

You will maintain an overview of AI use cases, analyze value and feasibility, develop frameworks linking use cases to outcomes, and prepare governance insights for decision-making.

Qualifications

  • Pursuing a master’s degree in a relevant field.
  • Interest in AI value assessment, BI, and strategy.
  • Experience with data analysis, reporting, and BI tools.
  • Able to translate complex information into actionable insights.

Responsibilities

  • Maintain a structured overview of AI use cases across IT R&D and Design & Engineering.
  • Analyze business value, feasibility, and strategic relevance of AI initiatives.
  • Develop frameworks linking AI use cases to measurable outcomes.
  • Prepare insights and recommendations for AI governance decisions.
  • Collaborate with stakeholders to collect data and validate findings.
  • Create reports and presentations communicating AI adoption progress.

Skills

Analytical thinking
Stakeholder engagement
Communication in English

Education

Master's degree in Business Analytics, Innovation Management, Technology Management, Industrial Engineering & Management

Tools

Power BI
Tableau
Qlik Sense
SQL
Python
ML analytics

Job description

Introduction

The IT R&D AI Enablement Team supports ASML's journey to become an AI-native organization. The team enables responsible AI adoption across Research & Development by helping teams identify, prioritize, and scale impactful AI solutions. In this internship, you will help assess the business value of AI initiatives and support strategic decision-making. Your work will contribute directly to how AI is applied to accelerate innovation within ASML. If you are interested in the intersection of AI, business value, and technology strategy, this internship offers a unique opportunity to make an impact.

Assignment

As part of the AI Enablement Team, you will help create transparency around AI initiatives and their business impact. You will collaborate with engineers, project owners, and business stakeholders to evaluate opportunities and support AI governance activities. Through this internship, you will gain experience in business intelligence, AI value assessment, and strategic decision-making in a high-tech environment.

Responsibilities
  • Maintain a structured overview of AI use cases across IT R&D and Design & Engineering
  • Analyze the business value, feasibility, and strategic relevance of AI initiatives
  • Develop and apply frameworks that connect AI use cases to measurable business outcomes
  • Support AI governance activities by preparing insights and recommendations for decision-making
  • Collaborate with stakeholders to collect data and validate findings
  • Create reports and presentations that communicate AI adoption progress and impact
  • Contribute to business intelligence, benchmarking, and data-driven improvement initiatives
Internship Details

This is a master's non-thesis internship for minimum 6 months, minimum 4 days per week (3 days on-site). The start date of this internship is as of February 2027, but an earlier start date is also possible.

Your Profile
  • Are pursuing a master's degree in Business Analytics, Innovation Management, Technology Management, Industrial Engineering & Management, or a related field
  • Have a strong interest in Artificial Intelligence, business intelligence, and innovation strategy
  • Have experience with data analysis, reporting, and business intelligence tools
  • Are analytical and able to translate complex information into actionable insights
  • Are proactive, collaborative, and comfortable engaging with different stakeholders
  • Communicate fluently in English, both spoken and written
  • Experience with Power BI, Tableau, Qlik Sense, SQL, Python, machine learning analytics, or similar reporting and visualization tools is considered a plus.
Additional Information

During this internship, you will work on one of ASML’s strategic priorities: accelerating AI adoption across R&D. You will gain hands-on experience in AI value assessment, reporting, and stakeholder management while collaborating with professionals from multiple disciplines.

This internship provides an opportunity to contribute to real business decisions and develop skills that are highly relevant in data-driven and innovation-focused careers.

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.

About ASML

ASML is a leading supplier of lithography equipment, used by the world’s top chipmakers to print microchips that are increasingly powerful, fast and energy efficient. Working at ASML is inspiring, no matter what field you're in. That's because we push the boundaries of technology: if it's moving the world forward, chances are, we're behind it. In fact, we're probably a part of the electronic device you're using right now. We're a global team of more than 32,000 people from 122 different nationalities and counting. Headquartered in Europe’s top tech hub, the Brainport Eindhoven region in the Netherlands, our operations are spread across Europe, Asia and the US.

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