Student | Simulation and Research Pricing | Retail
Listed on 2026-01-10
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IT/Tech
Data Engineer, AI Engineer, Data Analyst, Data Scientist
What we do
Amsterdam Data Collective (ADC) is an AI Transformations partner for its clients, driving data and AI to create real impact for organisations. Leading European data and AI consultancy, ADC’s mission is to accelerate the positive and responsible implementation of data and AI, with strategic advisory, end-to‑end solutions to clients across various sectors, including financial services, life sciences, healthcare, the public sector, agriculture, and retail.
ADC’s multidisciplinary expertise covers the entire data value chain:
- Data Strategy – Crafting actionable, business‑aligned data and AI roadmaps
- Data Engineering – Designing secure, scalable, and future‑proof data architectures
- Analytics & Data Science – Building AI-powered tools and predictive models that solve real‑world problems
- Design & Visualisation – Through its in‑house studio, CLEVER°FRANKE, creating intuitive, data‑driven user experiences that bring complex insights to life
As a Working Student you will support our Retail Team to improve our pricing solution with your technical skills in modelling, programming and knowledge in econometrics:
- Research and development of the internal pricing solution
- Reading and implementing ideas from academic papers to test their practical feasibility
- Implementing and testing different econometric models into the pricing solution
- General software engineering improvements to help build out the pricing solution
We are looking for someone who can make a difference and is always looking for new ways to learn more, especially in a collective way. Is this you?
- You are currently enrolled in a Master’s degree in Econometrics, Data Science, Mathematics or other similar fields
- You have excellent communication skills in English; other languages are a plus
- You have experience in programming outside of your university courses - Python is a plus.
- You are interested in AI, data science, and consulting
- You are detail‑oriented, organised, structured and multitasking is no problem for you
- You are a team player, but have no problem working autonomously
- You are excited to read and implement academic papers and put them into practise.
At ADC, we know your work has impact, so we want you to feel part of our team from day 1. We want to make sure you have all the resources ready to go, so you can level your career to the next step. To create meaningful projects, thrive collectively and to gain ownership from the start, you will have unlimited access to:
- A steep learning curve – We will make sure you have the opportunity to take on responsibility every day and to grow within the team
- Projects with impact – You will see in first‑hand how your role can create real‑business challenges and optimise our client's work
- Freedom to innovate – Experiment and be ready to bring your own ideas to improve our tools and ways of working
- Ongoing learning & development – Create your own network and get out of your comfort zone by doing top project presentations. We will make sure you have a mentorship program and all the support to grow with our Collective Lunch Sharing Sessions
- Our Collective Week - A workation with the entire ADC team, where we collaborate on pro‑bono projects and create unforgettable memories (check out our page to see more!)
- A true ADC culture – Friday drinks, sports activities, daily lunches prepared by our amazing office cook, and so much more!
If this opportunity sounds like your next challenge, apply through the link below until January 22nd!
We are waiting for you to join our welcoming office in the centre of Amsterdam! For questions, contact: r
* Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in Directive 2000/78/EC. We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further.
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