About this role
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