Want to join the worlds No. 2 in wines & spirits and work among convivial teams Pernod Ricard is looking for a Data Science Intern for 6 months from July to December 2026. 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 Groups transformation plan in the development of the projects code base and in the maintenance of existing Machine Learning and optimization models in the Digital Data Science team.
Your key missions:
You will contribute to the development of the programs algorithmic building will be responsible for the maintenance and re-training of existing will evangelize data science concepts to deployment managers.
If you recognize yourself in the description below dont wait to apply!
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 are rigorous autonomous with good analytical and synthesis are ready to evolve in an international environment and are recognized for your ability to work in a team and your sense of speak English fluently French is a plus.
Please note: to apply you must be able to complete 6 months of internship and have an agreement issued by your school/university.
And youll benefit from these advantages:
Gross salary from 1410 (Bac 4 and gap year) to 1550 (Bac 5) per monthCompany restaurantUnlimited access to the Coursera training platform to enhance your 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 Frances 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.
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Required Experience:
Intern