Introduction

The ASML Business Information team in the Netherlands helps transform complex data into meaningful insights that support business decisions across the organization. As a Data Science | Engineering intern: optimizing business processes , you will work in a dynamic environment where priorities evolve based on business needs and operational challenges. This internship offers the opportunity to improve processes, enhance data solutions, and contribute to projects that create measurable impact. You will collaborate with experienced professionals while developing both your technical and professional skills. To achieve this, we leverage a range of technologies and programming languages, including Power BI, Spotfire, Azure Databricks, SQL, and the Azure Cloud. If you enjoy solving problems, exploring data, and taking initiative, thisinternship could be the right opportunity for you.
Your assignment

As a Data Science | Engineering intern: optimizing business processes , you will support initiatives that improve efficiency, reliability, and scalability of business processes and data solutions. You will work on a variety of assignments rather than a single predefined project, giving you the opportunity to apply your analytical and technical skills across different business challenges. You will investigate problems, identify improvement opportunities, and help deliver solutions that create value for stakeholders.

Your main responsibilities will be:

Analyze large datasets and translate findings into actionable business insights.
Investigate process inefficiencies and perform root cause analyses.
Improve data pipelines, data quality, and process automation solutions.
Develop tools and solutions that simplify workflows and increase efficiency.
Design, build, and maintain scalable data models and databases.
Conduct qualitative and quantitative research to support improvement initiatives.
Collaborate with stakeholders to identify business needs and recommend data-driven solutions.

This is a bachelor/master non-thesis internship for minimum 5 months, minimum 4 days per week (2 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 bachelor's or master's degree in computer science, data science, engineering, business information technology, or a related field.
Have experience with programming and data analysis using tools such as SQL, Python, Power BI, Mendix or similar technologies.
Are analytical and able to investigate complex problems using a structured approach.
Demonstrate initiative, ownership, and the ability to work independently.
Communicate effectively in English and collaborate with a variety of stakeholders.
Are curious, proactive, and eager to contribute ideas that improve business outcomes.

Additional requirements:

You are enrolled at an educational institution throughout the entire internship period.
You are located in the Netherlands during the internship, or you are willing to relocate before the start date.
If you are a non-EU citizen studying in the Netherlands, your educational institution must be able to support the internship documentation requirements.

Join ASML through this internship and gain hands-on experience in a data-driven environment where your contributions can directly influence business performance. This internship offers exposure to real business challenges, collaboration with experienced professionals, and opportunities to develop valuable technical and stakeholder management skills.

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.

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Data Science | Engineering internship: optimizing business processes

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