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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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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

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Experience with GitHub, dbt, cloud environments, or industrialization practices
▶Apply Now

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