Introduction

The DSU contributes to policy consulting projects and conducts R&D to develop and test new applications, sometimes in collaboration with internal and external partners. Its work includes record linkage, classification, natural language processing, web scraping, generative AI and dynamic visualisations.

As an intern, you will work alongside experienced data scientists and policy consultants, applying and developing your technical skills to address real-world policy questions.

About this job

You will be part of the DSU and collaborate with colleagues across policy areas, including science, technology and innovation, economic development, the green transition, international cooperation and health. You may also contribute to internal R&D and business development activities, particularly the preparation of data science approaches for project proposals.

No previous professional experience is required. Relevant coursework, academic research and personal coding projects will be considered.

We are looking to recruit a full-time intern for at least 6 months starting in Automn 2026. Internship should be sponsored by the intern’s university (stage conventionné).

Your profile

Suitable candidates should have:

Master’s-level studies in data science, computer science, statistics, economics, engineering or another relevant discipline with a strong quantitative component, and be eligible for a university-sponsored internship.
Practical programming skills in Python, demonstrated through coursework, research or personal projects, and the ability to write and understand their own analytical code.
Good foundations in statistics and quantitative analysis, together with an interest in economics and public policy and in interpreting analytical results in their policy context.
Basic familiarity with machine learning or natural language processing, and an interest in using generative AI and large language models programmatically through APIs for data processing, text analysis and knowledge extraction.
A careful and structured approach to working with data, including attention to data quality, validation, documentation and reproducibility.
An interest in public policy and in using data science to support evidence-based policymaking, particularly in areas such as science, technology and innovation, economic development, the green transition or health policy.
Fluency in French and English, good communication skills and an ability to work collaboratively in an international and multicultural environment. A third language would be an asset.

Your responsibilities

Support the design and implementation of data science analyses to answer policy questions, writing code in Python.
Collect, clean, link and validate data from multiple sources, including open datasets, databases and web-based sources.
Help develop and test analytical workflows, potentially involving machine learning, NLP and LLM APIs for classification, text analysis and knowledge extraction.
Contribute to indicators, scoreboards and visualisations, including dashboards where relevant, to make findings accessible to different audiences.
Interpret and communicate results, helping prepare reports, methodological documentation and presentations for clients.
Contribute to the DSU’s R&D and proposal preparation, for example by exploring new datasets, testing methods or developing small prototypes.

Our offer

Many of our interns become full-time staff at Technopolis or go on to pursue opportunities in the public and private sectors.