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:
2026-09-15Target End Date:
2027-03-15Pernod Ricard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pernod Ricard and has not been reviewed or approved by Pernod Ricard.
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Healthcare Strength — Pay and benefits are described as strong overall, supported by comprehensive medical, dental, and vision coverage alongside life and disability insurance. Wellbeing support is reinforced through mental-health resources and broader wellness programming.
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Retirement Support — Retirement benefits are positioned as a standout part of the package, including a 401(k) with a match and an additional profit-sharing contribution for eligible employees. A legacy defined-benefit pension is also referenced for certain earlier hires, adding depth to long-term financial support.
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Parental & Family Support — Family-related benefits are unusually broad, including paid parental leave, paid caregiver leave, backup child/elder care resources, and adoption/surrogacy reimbursement. Additional supports such as Milk Stork and fertility/ART coverage further strengthen family-building coverage.
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What We Do
Pernod Ricard is a convivial, responsible and successful global wine and spirits group and the #1 premium spirits organisation in the world. The Group represents 240 premium brands available in more than 160 countries. We are 18,500 exceptionally talented people worldwide with our own salesforce in 73 countries. Our portfolio is one of the most comprehensive in the market with every major category of wine and spirits, providing Pernod Ricard with a unique competitive advantage. To keep growing our business, transforming our industry and making a positive impact on the world, we believe in the power of human connection. Creating ‘convivialité’ is our business and our raison d’être. As ‘créateurs de convivialité’, our purpose is to turn every social interaction into a genuine, friendly and responsible experience of sharing. We believe there can be no convivialité with excess and strive to be sustainable and responsible at every step, from grain to glass.
