About the Role
You will be part of the Analytics team within our Revenue Growth Management practice, based in our Amsterdam office. You'll join a rapidly growing group applying data science and advanced analytics to real-world business challenges across a variety of industries—delivering measurable and lasting impact for our clients.
Responsibilities
•Framing business problems and designing, implementing, and scaling analytical solutions
•Applying advanced modeling techniques, including machine learning (e.g., regression, time series, xgboost, neural networks)
•Writing optimized code to enhance our internal Data Science Toolbox
•Translating data into actionable insights for clients and internal teams
•Collecting, analyzing, and interpreting marketing, commercial, and operational data
•Developing and validating hypotheses using quantitative methods
•Contributing to client deliverables and participating in presentations
•Collaborating closely with colleagues and stakeholders across disciplines
Requirements
•Skilled in Python (required)
•Experience with machine learning and advanced modeling techniques
•Proficient in Microsoft Excel and PowerPoint
•Strong mindset for turning data into actionable business insights
•A self-starter who is structured, adaptable, and both strategic and hands-on
•Comfortable working independently and in cross-functional teams
•Clear communicator able to explain complex ideas simply and convincingly
•Demonstrated leadership through academics or extracurricular activities
•Fluent in English
•Currently enrolled in a Master's (preferred) or a Bachelor's program in: Computer Science, Data Science, Statistics, Operations Research, Econometrics, or a related quantitative field
•Enrolled at a Dutch university for the full duration of the internship and eligible to work in the Netherlands
•Available full-time (40 hours/week) starting November / December 2026 for 6 months
•Able to work from our Amsterdam office at least 3 days per week
Nice to Have
•Experience with any other language is a plus
•Familiarity with Streamlit, Dash, or similar visualization frameworks
Conditions
•A competitive internship allowance
•15 days of paid leave (pro-rata based on internship duration)
•Bi-monthly team events and an annual company retreat
•Access to mentorship, resources, and learning opportunities to support your growth
•A young and dynamic team where your contributions matter
