How do I apply for the Data Science Intern position at Pernod Ricard and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Pernod Ricard paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Data Science Intern role?

This position is a full-time, structured as a on-site role, with an expected duration of 6 months.

What educational background or degree level is required for the Data Science Intern at Pernod Ricard?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, PhD.

Does Pernod Ricard provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Data Science Intern

Pernod Ricard

Found 1 month ago

Location

Paris, France

Duration (Months)

6 Months

Time

Full-time

Work Mode

On-site

Salary

1410€ to 1550€ per month

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master
PhD

Skills & Qualifications

Technical Skills

Python
SQL
Snowflake
dbt
Azure
APIs
ETL
Git/GitHub
Streamlit

Soft Skills

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, …)

Job Description

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).

Requirements

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

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

Experience with GitHub, dbt, cloud environments, or industrialization practices

Apply Now

9Open Positions