Internship Data Sciences Intern - Paris - March 2027

Pernod Ricard; Paris; On-site; EUR 16,000 - 17,000; Full time

Benefits offered by this job

Gross salary

Company restaurant

Coursera access

AI tooling access

Employee events

Job summary

Pernod Ricard, based in Paris, seeks a Data & AI Intern for a 6‑month period from March to August 2027. You will work in the Data & AI team on ML and Generative AI components, including LLM pipelines and AI tooling, while maintaining and retraining models in production.

You will learn and apply MLOps practices, system evaluation, and AI policy alignment, with a strong emphasis on responsible AI and data traceability. English fluency is expected; French is a plus.

Qualifications

• Strong Python and OO programming fundamentals with data science basics.
• Knowledge of ML concepts, model retraining, and MLOps/LMLops awareness.
• Experience with cloud data platforms and productionalization of models is a plus.

Responsibilities

• Contribute to algorithmic building blocks from ML to Generative AI components.
• Maintain and retrain models, monitor drift, performance, latency and cost.
• Evangelize data science concepts to deployment managers.
• Design and run evaluation benchmarks, document failure modes.
• Support responsible AI practices with data/prompts traceability.

Skills

Python

Data Science

ML

ETL

SQL

GitHub

PyTorch

TensorFlow

LangChain

LLM tooling

Education

Bac+4/5

Tools

GitHub

PyTorch

TensorFlow

Hugging Face

LangChain

OpenAI SDK

Azure OpenAI

Job description

Want to join the world's No. 2 in wines & spirits and work among convivial teams? Pernod Ricard is looking for Data & AI Intern for 6 months from March to August 2027. You will be based at the Island, our office in central Paris (Saint Lazare Train Station, Paris 8).

You will participate in the technical implementation of one of the key data science programs in the Group's transformation plan, in the development of the project's code base, and in the maintenance of existing Machine Learning and optimization models in the “Data & AI” team. The team also builds the Generative AI and agentic components of our digital products, and the engineering practices that keep them reliable in production.

Your key missions:

• 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.

And you'll benefit from these advantages:

• Gross salary from 1410€ (Bac +4 and gap year) to 1550€ (Bac +5) per month
• Company restaurant
• Unlimited access to the Coursera training platform to enhance your experience.
• Access to the Group's Generative AI tooling and to an internal AI learning path.
• Employee events (Masterclasses, conferences, etc.)

All in a friendly, supportive environment that will help you to progress and build a solid professional network: 90.4% of our interns and alternates recommend us as an employer (Happy Trainees 2024)!

Pernod Ricard is committed to diversity and inclusion: we are a disability-friendly company, one of France's Top 10 companies for gender equality, and we work with associations to promote social inclusion. Our recruitment methods focus on competencies to ensure equal opportunities.