Position: Data Science & AI Internship (final year) based in Paris, France. You will join our team of experts to develop AI and generative AI solutions and assist clients in their digital transformation augmented by AI. Focus areas include: machine learning and statistics (explainable and predictive models, supervised/unsupervised learning, econometrics, time-series forecasting, reinforcement learning); deep learning (NLP, computer vision, speech-to-text); Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation, conversational agents, and autonomous business agents; operations research for constrained optimization and simulation.

Activities: internal R&D in NLP/GenAI, CV, time series, and OR labs; contributing to the development or strengthening of offerings through training, working groups, internal/external knowledge sharing; publication activities (web networks, studies, white papers, press coverage); business development by helping define client needs and supporting commercial actions.

Profile: Soon-to-be-engineering school graduate or top-tier program in applied mathematics, statistics, econometrics, or AI, ideally with some data science or AI internship experience. Strong statistical and quantitative analysis skills; proficiency in Python and code versioning; familiarity with API development (Flask, FastAPI), cloud platfo

Position: Data Science & AI Internship (final year) based in Paris, France. You will join our team of experts to develop AI and generative AI solutions and assist clients in their digital transformation augmented by AI. Focus areas include: machine learning and statistics (explainable and predictive models, supervised/unsupervised learning, econometrics, time-series forecasting, reinforcement learning); deep learning (NLP, computer vision, speech-to-text); Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation, conversational agents, and autonomous business agents; operations research for constrained optimization and simulation.

Activities: internal R&D in NLP/GenAI, CV, time series, and OR labs; contributing to the development or strengthening of offerings through training, working groups, internal/external knowledge sharing; publication activities (web networks, studies, white papers, press coverage); business development by helping define client needs and supporting commercial actions.

Profile: Soon-to-be-engineering school graduate or top-tier program in applied mathematics, statistics, econometrics, or AI, ideally with some data science or AI internship experience. Strong statistical and quantitative analysis skills; proficiency in Python and code versioning; familiarity with API development (Flask, FastAPI), cloud platfo