Build, improve and maintain formulation and recommendation algorithms
Model and monitor the factors that impact our customers’ satisfaction
Support the marketing team in running tests with our customers
Design robust tools (dashboards, internal libraries, LLM agents) that enable business teams to easily access information and make decisions autonomously
Empower teams to become increasingly autonomous in understanding and using data by industrializing recurring analyses
Conduct consumer test analyses and A/B tests, while contributing to the continuous improvement of associated tools so teams can eventually analyze and interpret their tests independently

You are looking for an end-of-study internship to validate a Master’s-level program (Grande École engineering or business school equivalent)
You are as comfortable speaking English as you are coding in Python or R
Analytical and rigorous, you are proactive in your analyses
You have a strong interest in building robust data tools and in LLM agents / applied generative AI
You enjoy creating solutions that multiply teams’ impact rather than producing only one-off analyses
You are curious and autonomous and want to explore multiple facets of data science

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