We’re looking for a highly curious and independent Data Analytics & AI Intern to join our team in Amsterdam. You’ll work on real business problems with support from experienced analysts but also be expected to take ownership of your work, bring analytical structure, and think like a statistician — with a genuine curiosity for AI and how it can change the way we work with data.
This is not a “build dashboards all day” internship—we’re looking for someone who wants to ask why, build models, experiment with LLMs and agents, and turn data into decisions.
What you'll do:
Support the design and implementation of predictive models, including ML and LLM-based approaches
Explore and prototype AI-powered tools or agents (e.g. using Claude or other AI systems) that automate and enhance analysis, reporting and data-quality workflows
Conduct statistical analysis and hypothesis testing on large business datasets
Build dashboards and visualizations in tools like Power BI to track KPIs, OKR’s and experiment results
Collaborate with cross-functional teams to understand their data needs and provide actionable insights
Work with cloud-based data and services (in Azure) to run experiments and deploy prototypes
Identify trends and patterns in data to drive business strategy and performance improvements
Clean, explore, and validate complex datasets using Python and SQL
Translate findings into clear summaries for internal stakeholders
Be encouraged to propose your own analysis ideas or improvements
What you'll need:
Currently pursuing a degree in Mathematics, Statistics, Computer Science, or similar
You are enrolled in a Dutch university during the entire duration of the internship (6 months minimum)
You live in Amsterdam or close by and are willing to commute to the office at least twice a week
You are available at least 32h/week
Ability to leverage AI, with experience using AI/LLM systems (e.g. Claude Code, ChatGPT, or similar)
Experience with Python (pandas, seaborn, scikit-learn) and SQL
Solid understanding of statistics: hypothesis testing, confidence intervals, significance, etc.
Familiarity with a cloud platform such as Azure, AWS, or GCP
Strong critical thinking and problem-solving mindset
Comfortable working independently and learning proactively
Outstanding verbal and written communication skills in English
Bonus Points If You Have:
Built or contributed to a predictive model in a previous project or course
Experience with natural language processing or image data
Built or experimented with AI agents, chatbots, or automations (e.g. using Claude, OpenAI, LangChain, or similar frameworks)
Familiarity with BI tools like Power BI (building dashboards and DAX), Qlik, or Tableau
Hands-on experience working in Jupyter notebooks
Experience with Git/GitHub and CI/CD practices (e.g. GitHub Actions, automated testing, and deployment)
GitHub, portfolio, or public dashboards you can share
What can you expect:
NS business card if you come by train and are located more than 10km away from the office
1100 euro a month as salary based on a 40h/week working schedule
Real-world experience solving meaningful business problems
High ownership of your work—you’ll be treated like an analyst and part of the team, not a task-taker
Mentorship from experienced professionals
A flexible and friendly hybrid working environment in Amsterdam
