Data Science Intern – Pernod Ricard HQ – Paris – 6 months as of sept-oct. 2026PERNOD RICARD

Pernod Ricard est un leader mondial du secteur des vins et spiritueux, associant des savoir-faire uniques dans la fabrication de ses produits, le développement de ses marques et leur distribution mondiale.

Notre vaste portefeuille, allant du premium au luxe, compte notamment la vodka Absolut, le pastis Ricard, les scotch whiskies Ballantine's, Chivas Regal, Royal Salute et The Glenlivet, le whisky irlandais Jameson, le cognac Martell, le rhum Havana Club, le gin Beefeater, la liqueur Malibu ou les champagnes Mumm et Perrier-Jouët.

Nous sommes un groupe qui a une âme : une entreprise avec des valeurs familiales, ancrée dans nos terroirs et notre héritage. Nous assurons la croissance à long terme de nos marques, dans le respect des individus et de l'environnement, tout en permettant à nos plus de 19 500 collaborateurs dans le monde entier d'être les ambassadeurs de notre authentique culture de la convivialité, porteuse de sens, inclusive et responsable.

Notre raison d'être, notre mission, notre ambition et notre culture définissent qui nous sommes et propulsent notre succès collectif.

Nous valorisons la diversité et la solidarité au sein de notre organisation et dans nos relations avec nos parties prenantes. Nous sommes convaincus que la diversité de nos parcours, de nos expériences et de nos savoir-faire sont les moteurs de notre créativité. Votre personnalité, votre regard, votre intuition et vos idées comptent !

Nos méthodes de recrutement se concentrent donc sur les compétences et le savoir-être et nous accueillons tous types de talents.

About Pernod Ricard Global Tech

Every day, across the world, the Global Tech organization delivers high-quality technology products and services while driving measurable business value, accelerating innovation, and enabling the Group's long-term growth.

Within Global Tech, the AI Team brings together data experts (Data Scientists, Machine Learning Engineers, Data Analysts, and more) to implement Data Science initiatives that power our digital transformation.

Internship purpose

Reporting to a Data Scientist in the Data Science team, you will contribute to the technical implementation of one of the Group's Data Science programs, help grow the project's codebase, and support the maintenance and evolution of existing Machine Learning and optimization models deployed across multiple markets around the world.

This is a hands-on role focused on building, improving, and scaling (not a research work).

Your key missions

1) Build and deliver AI components

• Contribute to the development of end-to-end AI building blocks within the program

• Help "translate" Data Science concepts for deployment stakeholders to support roll-out and adoption

2) Maintain and improve production models

• Monitor, maintain, and retrain existing models and pipelines

• Support coordinated updates with markets and ensure smooth model evolution over time

3) Drive adoption with business teams

• Co-design interfaces, recommendations, and usage guidelines with business stakeholders

• Help ensure solutions are explainable, trusted, and maximize real-world impact

How we'll work together

• Agile team setup with regular rituals (stand-ups, technical syncs with ML Engineers, business touchpoints)

• Close mentoring with frequent check-ins to remove blockers quickly

• Strong international exposure: English is the working language

Your future tech environment

• Python (object-oriented programming)

• SQL / Snowflake (data transformation)

• Versioning dbt

• Cloud environment Azure

• APIs, data pipelines (ETL)

• Collaboration practices (Git/GitHub)

• Tools for apps/insights may include Streamlit / BI

What we're looking for

• Currently enrolled in an engineering school or master's program in Data Science (or equivalent), minimum Bac+4

• Strong foundations in statistics, probability, and machine learning

• Excellent Python skills (clean, structured code; OOP)

• Solid understanding of data ecosystems: ETL, APIs, SQL, storage concepts

• Ability to evaluate models (metrics, performance tracking, validation logic)

• Nice-to-have : Experience with GitHub, dbt, cloud environments, or industrialization practices

Soft skills that matter here

• Curious, rigorous, autonomous, proactive, and team-oriented

• Comfortable debating technical choices, integrating feedback, and improving iteratively

• Strong communication: able to explain technical work clearly to non-technical stakeholders and to work with various stakeholders (AI Team Data Scientists, Product Owners, Data Engineers and Machine Learning Engineers, global and local Business stakeholders across markets, …).

Why join

• Work on enterprise-scale AI programs deployed across multiple markets

• Build real production experience: model lifecycle, retraining, codebase contribution, and adoption

• A role where technical excellence meets tangible business impact

Recruitment timeline

• Please apply before March 20.

• Mid-late March: If your profile matches what we're looking for, our HR team will reach out for an intro phone-call.

• Early-mid April: Selected candidates will be invited to interviews with members of the Data Science team.

• Late April: Decisions and offers are shared.

To apply, you must be able to complete 6 months of internship and have an agreement issued by your school/university. 
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.
· Employee events (Masterclasses, conferences, etc.)
All in a friendly, supportive environment that will help you to progress and build a solid professional network: 92.2% of our interns and alternates recommend us as an employer (Happy Trainees 2025)!
Pernod Ricard is committed to offering equal opportunities to all talents. Our recruitment methods focus on skills and competencies.

Job Posting End Date:

Target Hire Date:

2026-09-15

Target End Date:

2027-03-15