RAND Europe is an independent, not-for-profit research organisation whose mission is to help improve policy and decision-making through rigorous and independent research and analysis. We benefit the public interest through the impact and wide dissemination of over 200 projects per year. Our work at its most impactful changes policy, practice and process to the benefit of the public good. That is also our organisational mission. 

RAND Europe has approximately 200 staff across offices in Cambridge, Brussels, and the Hague. Our staff represents 22 nationalities, speaks over 20 languages and covers 31 academic disciplines. Our multi- and inter-disciplinary approaches to research generate unique perspectives and insights for our wide-ranging government, foundation and other NGO clients. 

The Data Science Lab is RAND Europe’s centre of excellence for data science and quantitative methods. Its remit spans applied AI, applied statistics and machine learning, applications and dashboards, modelling and econometrics, as well as training and best practices.

We are looking for an individual with a passion for data visualisation, interactive dashboards and data‑driven applications to join the team. As a Research Data Scientist, you will help make RAND Europe’s research insights more accessible and actionable through well‑designed dashboards, data storytelling and API‑based data products.

You will work across several technical themes, from gathering and engineering data through analysis and modelling, to designing and building interactive visualisations and tools for a range of audiences, including policymakers, practitioners and internal teams. You will operate as part of a wider cross-disciplinary team, combining your skills to deliver against challenging technical problems.

This role has a particular focus on designing and implementing interactive dashboards and visual analytics, building data-driven web applications, developing API-based data products, and applying visual principles and data storytelling to communicate complex evidence clearly.