AI Value Analytics & Strategy Intern

Vacaturebank; Netherlands; Hybrid; EUR 6,700 - 11,000; Part time

Job summary

ASML is offering a master's non-thesis internship in AI Enablement within IT R&D. You will assess the business value of AI initiatives and support governance and decision-making. The role involves BI reporting, data-driven analysis, and collaboration with engineers, project owners, and business stakeholders.

You will gain hands-on experience with AI use cases, reporting tools, and strategic decision-making in a high-tech environment while contributing to ASML’s AI adoption priorities.

Qualifications

• Pursuing a master's degree in a relevant field with interest in AI and business value
• Experience with data analysis, reporting, and BI tools is beneficial
• Ability to translate data into actionable insights and communicate findings clearly

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
• Support AI governance with insights and recommendations for decision-making
• Collaborate with stakeholders to collect data and validate findings
• Create reports and presentations communicating AI adoption progress and impact
• Contribute to BI benchmarking and data-driven improvement initiatives

Skills

Data analysis

Power BI

Tableau

Qlik Sense

SQL

Python

ML analytics

English fluency

Education

Master's in Business Analytics

Related field focus

Tools

Power BI

Tableau

Qlik Sense

SQL

Job description

ASML is offering a master's non-thesis internship in AI Enablement within IT R&D. You will assess the business value of AI initiatives and support governance and decision-making. The role involves BI reporting, data-driven analysis, and collaboration with engineers, project owners, and business stakeholders.

You will gain hands-on experience with AI use cases, reporting tools, and strategic decision-making in a high-tech environment while contributing to ASML’s AI adoption priorities.