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Internship Data Sciences Intern - Paris - March 2027

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Internship Data Sciences Intern - Paris - March 2027

What you’ll work on

Full posting
  • Contribute to ML, optimization and generative AI building blocks

  • Maintain and retrain existing models, monitoring drift, performance, latency and cost

  • Help design and run benchmarks to evaluate AI systems

  • Contribute to responsible AI documentation and traceability

  • Evangelize data science and AI concepts to deployment managers

From the employer’s posting
You will contribute to the development of the program's algorithmic building blocks
You will be responsible for the maintenance and re-training of existing models, including monitoring of data drift, performance, latency and cost in production
You will help design and run the evaluation of AI systems: building benchmarks, measuring quality and robustness
You will contribute to the responsible AI frame of the program: traceability of data and prompts, model and system documentation
You will evangelize data science and AI concepts to deployment managers
Apply at Pernodricard

Posting record

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Status in our records
Live
First seen by us
Oct 16, 202620 days ago
Recorded sightings
46
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 20

Similar jobs usually come down between day 6 and day 70.

At Pernodricard, jobs usually come down by about day 37.

From 4,442 similar postings that came down, and 18 of Pernodricard’s. Coming down is not always a hire.

Pernodricard is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Snowflake
  • Hugging Face
  • PyTorch
  • TensorFlow
Where the posting names them
If you recognize yourself in the description below, don’t 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 plus. Exposure to Deep Learning frameworks (PyTorch, TensorFlow) or to LLM tooling (Hugging Face, LangChain, OpenAI or Azure OpenAI SDK) is a strong plus. - You have a critical mind towards model outputs: you measure before you conclude, and you can explain what a model does not do well.
- You have a critical mind towards model outputs: you measure before you conclude, and you can explain what a model does not do well. - An interest in cloud data platforms (Azure, Databricks, Snowflake or equivalent) and in putting models into production is appreciated. - You are rigorous, autonomous, with good analytical and synthesis skills.

Your next step

Complete your application on pernodricard.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Want to join the world's No. 2 in wines & spirits and work among convivial teams? Pernod Ricard is looking for Data & AI Intern for 6 months from March to August 2027. 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 Group's transformation plan, in the development of the project's code base, and in the maintenance of existing Machine Learning and optimization models in the “Data & AI” team. The team also builds the Generative AI and agentic components of our digital products, and the engineering practices that keep them reliable in production.


Your key missions:

  • You will contribute to the development of the program's algorithmic building blocks, from classical Machine Learning and optimization models to Generative AI components (LLM based pipelines, retrieval augmented generation, agentic workflows).
  • You will be responsible for the maintenance and re-training of existing models, including monitoring of data drift, performance, latency and cost in production (MLOps and LLMOps practices).
  • You will evangelize data science and AI concepts to deployment managers.
  • You will help design and run the evaluation of AI systems: building benchmarks, measuring quality and robustness, and documenting failure modes before deployment.
  • You will contribute to the responsible AI frame of the program: traceability of data and prompts, model and system documentation, and alignment with the Group's AI policy and applicable AI regulation.

If you recognize yourself in the description below, don’t 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 plus. Exposure to Deep Learning frameworks (PyTorch, TensorFlow) or to LLM tooling (Hugging Face, LangChain, OpenAI or Azure OpenAI SDK) is a strong plus.
  • You have a critical mind towards model outputs: you measure before you conclude, and you can explain what a model does not do well.
  • An interest in cloud data platforms (Azure, Databricks, Snowflake or equivalent) and in putting models into production is appreciated.
  • You are rigorous, autonomous, with good analytical and synthesis skills.
  • You are ready to evolve in an international environment and are recognized for your ability to work in a team and your sense of service.
  • You 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 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.
  • Access to the Group's Generative AI tooling and to an internal AI learning path.
  • Employee 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 France's 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.

Job Posting End Date:

Target Hire Date:

2027-03-01

Target End Date:

2027-08-30
Source details

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Paris

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