AI Value & Strategy Internship — Business Analytics

ASML

Veldhoven

On-site

EUR 6,700 - 10,000

Part time

14 days+
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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

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.

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