Internship - Data Science at Technopolis Group

Woluwe-Saint-Pierre - Sint-Pieters-Woluwe, Brussels-Capital, Belgium -

Full Time

Start Date

Immediate

Expiry Date

06 Sep, 26

Salary

0.0

Posted On

08 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, SQL, Generative AI, Machine Learning, Git, Github, Visual Studio, Data Wrangling, Data Visualisation, Policy Analysis, English Communication

Industry

Public Policy Offices

Description

Introduction Technopolis is offering a 5-6 months paid internship at our Brussels office. About this job We seek to appoint an enthusiastic intern to gain first-hand insights in applying data science techniques for policy analysis. It is an exciting time to join the growing data science work at Technopolis Group, where we are deploying new tools across our practice to enhance our policy analysis capacity, from generative AI to reproduceable analytical pipelines. You will mainly focus on developing cross-cutting tools and techniques that can be applied across the company, as well as contribute to specific projects. Your profile Applicants suitable for this position should have: Recently finalised university education (master) or a student currently in the last year of a Master programme, preferably in data science, applied statistics, or related fields. Priority will be given to applicants that combine data science with economics or public policy, either in your studies or in past professional experience. Experience of programming languages for data manipulation, especially Python, R and SQL. Some knowledge of good coding practices and modern data science tools such as git, Github, Visual Studio. Experience and interest in data science techniques such as generative AI and other machine learning techniques. Interest in widening your skillset beyond data science: we develop fully-rounded analysts who are also capable of applying data science techniques – not just programmers. Interest in European Commission policies, in particular in science, technology and innovation; Excellent communication skills in English; Ability to work independently and as part of a team; Willingness to learn about new topics, methods, and skills. The following will be considered as a plus: Proficiency in other languages. Your responsibilities Typical tasks may include: Developing data analysis pipelines; Applying supervised and unsupervised machine learning techniques to mainly text data; Data wrangling; Data visualisation; Reporting results of analysis; Assist in other tasks such as literature reviews, case studies and other tasks where needed. Our offer The successful candidate will work as a paid intern in our Brussels office. The role provides the opportunity to gain experience in working at the forefront of European policymaking, to develop analytical skills, and to experience a multinational, friendly business environment. Our package includes: Paid internship Monthly Belgian phone subscription Monthly allowance for the transportation card Training and mentoring possibilities Working in an international company with 12 offices and more than 290 colleagues Interested? Apply directly Applicants need to have either EU citizenship or a valid work permit. Apply directly on our website with a European CV and cover letter by 2 July 2026(reference DSU_INT2026). Only the short-listed candidates will be contacted. About us At Technopolis Group, we began our journey as pioneers in the evaluation of science, technology and innovation policies. While evaluation remains a cornerstone of our identity, we’ve evolved into a trusted partner for evidence-based decision-making across a wide spectrum of policy areas. Today, our multidisciplinary experts offer strategic advice, forward-looking foresight, and robust project and network management, even in the most complex contexts. We combine cutting-edge data analytics with a deep understanding of policy to deliver insights that are both rigorous and actionable. From assessing policy effectiveness to measuring impact and communicating results to diverse audiences, we ensure clarity, relevance and reach. We don’t believe in one-size-fits-all solutions. Instead, we collaborate closely with our clients to design tailored approaches that truly meet their needs. Our work spans the globe and the governance spectrum, partnering with international institutions such as the European Commission and multilateral development banks, as well as with national, regional and local authorities. We also support universities, research centres, business networks, clusters, and incubators, helping them navigate complexity and drive impact.

Responsibilities

Develop cross-cutting data analysis pipelines and apply supervised and unsupervised machine learning techniques to text data. Contribute to policy analysis projects through data wrangling, visualization, and reporting results.