AI Data Scientist (m/f)

Job description

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VINCI Energies

In brief

Category: IT / Information Systems

Reference: Data Scientist IA-130412

Client code: 5166

Location: La Garenne-Colombes, Île-de-France, France

Contract: Permanent

Experience: More than 3 years

For readability, masculine grammatical forms may be used on this page; all job offers are open to people of every gender.

Date: 27 July 2026

Mission

Help design, develop, evaluate, and industrialize AI solutions that meet client needs. The Data Scientist works across the full AI project lifecycle, from data analysis to deploying models in production.

Key responsibilities

• Analyze business needs and translate them into AI solutions.
• Prepare, explore, and make data useful.
• Design, train, and evaluate machine-learning, deep-learning, and generative-AI models.
• Develop RAG, AI-agent, and computer-vision solutions according to project needs.
• Industrialize models and develop inference APIs.
• Help automate tests and deployments through GitLab CI/CD.
• Ensure the quality, documentation, and maintenance of developed solutions.
• Monitor technology developments and contribute to proofs of concept.

Reports to the Lead Data Scientist / Head of AI & Data Science.

Technical skills

Languages: Python; SQL.

AI and data science: machine learning; deep learning; generative AI (LLMs); prompt engineering; RAG; computer vision.

Tools and frameworks: Scikit-learn; PyTorch or TensorFlow; Hugging Face; LangChain or LlamaIndex.

Industrialization: Git; Docker; FastAPI or Flask; MLflow is an advantage.

Profile sought

• Master's degree (Bac+5), engineering degree, or PhD.
• Approximately three years of experience in data science or artificial intelligence.
• Experience delivering end-to-end AI projects, from development through deployment.
• Strong analytical skills, autonomy, rigor, and ability to work in a team.

Advantages

• Experience with cloud platforms such as Azure ML or Databricks.
• Knowledge of MLOps practices.
• Experience developing AI assistants and autonomous agents.
• Familiarity with Agile project-management tools such as Azure DevOps or Jira.

About the company

In a constantly changing world, VINCI Energies accelerates the environmental transition by delivering two major transformations: digital and energy. Its teams deploy tailored multi-technical technologies and solutions, from design through implementation, operation, and maintenance. Rooted in their local communities, agile and innovative, its more than 2,100 companies are central to clients' energy choices, infrastructure, and processes, making them more reliable, efficient, and sustainable every day. VINCI Energies aims for overall performance that respects the planet, serves people, and supports communities.

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