Data Scientist - AI/ML for Energy Innovation (Paris)

Eni; Levallois-Perret; On-site; EUR 90,000 - 130,000; Full time

Job summary

Eni Plenitude France is seeking a Data Scientist to join the team in Paris. The role focuses on designing, developing, and deploying advanced ML, DL, and Generative AI solutions to solve business challenges and enable data-driven decisions.

You will build predictive models, develop AI applications with LLMs, and collaborate with data engineering and business teams to industrialise AI across the organization.

Qualifications

• Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline.
• Significant experience in Data Science, Machine Learning, AI Engineering or a related field.
• Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and prompt engineering.

Responsibilities

• Design, develop and deploy Machine Learning, Deep Learning and Generative AI solutions to address business challenges.
• Build, validate and optimise predictive, prescriptive and optimisation models.
• Perform advanced data exploration, feature engineering and dataset preparation.
• Lead model training, validation, hyperparameter tuning and performance optimisation.
• Develop AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and prompt engineering techniques.
• Design and implement AI agents and agentic workflows to automate processes and support decision-making.
• Develop and maintain AI and Machine Learning pipelines, integrating APIs, enterprise data sources and business systems.

Skills

Python

ML/DL

LLMs

RAG

Cloud platforms

CI/CD

Education

Master’s degree in Data Science or related

Tools

Azure

Databricks

Job description

Eni Plenitude France is seeking a Data Scientist to join the team in Paris. The role focuses on designing, developing, and deploying advanced ML, DL, and Generative AI solutions to solve business challenges and enable data-driven decisions.

You will build predictive models, develop AI applications with LLMs, and collaborate with data engineering and business teams to industrialise AI across the organization.