Pernod Ricard, Internship - Data Sciences Intern

• You will contribute to the development of the program's algorithmic building blocks, from classical Machine Learning and optimization models to Generative AI components (LLM based pipelines, retrieval augmented generation, agentic workflows).
• You will be responsible for the maintenance and re-training of existing models, including monitoring of data drift, performance, latency and cost in production (MLOps and LLMOps practices).
• You will evangelize data science and AI concepts to deployment managers.
• You will help design and run the evaluation of AI systems: building benchmarks, measuring quality and robustness, and documenting failure modes before deployment.
• You will contribute to the responsible AI frame of the program: traceability of data and prompts, model and system documentation, and alignment with the Group's AI policy and applicable AI regulation.

• You master the Python language and object-oriented programming, a theoretical grounding in the field of Data Science and Machine Learning, as well as knowledge of data management concepts (ETL, API, data storage solutions, SQL, etc.). Knowledge of versioning tools (GitHub) is a plus. Exposure to Deep Learning frameworks (PyTorch, TensorFlow) or to LLM tooling (Hugging Face, LangChain, OpenAI or Azure OpenAI SDK) is a strong plus.
• You have a critical mind towards model outputs: you measure before you conclude, and you can explain what a model does not do well.
• An interest in cloud data platforms (Azure, Databricks, Snowflake or equivalent) and in putting models into production is appreciated.
• You are rigorous, autonomous, with good analytical and synthesis skills.
• You are ready to evolve in an international environment and are recognized for your ability to work in a team and your sense of service.
• You speak English fluently, French is a plus.

Please note: to apply, you must be able to complete 6 months of internship and have an agreement issued by your school/university.