Data Science | Engineering internship: optimizing business processes
ASML is hiring a Data Science | Engineering internship: optimizing business processes. Level rates it ; you can apply on ASML.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions Databricks, Power BI and Spotfire among its tools and skills.
- Level classes it as an internship.
- ASML has 675 other open roles on Level.
- Posted within the past week.
AI in this role
Analyze large datasets, improve data pipelines, and optimize business processes as a data science and engineering intern.
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, this internship 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.
Need to know more about applying for a job at ASML? Read our frequently asked questions.
How we rate this
Data Science | Engineering internship: optimizing business processes at ASML rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where process optimization was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Science, Data Engineering, Process Optimization, Data Analysis, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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