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# Data Scientist

- **Company:** ENI France
- **Location:** Levallois-Perret, France
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Application Integration Architecture, Microsoft Azure, Business Software, Business Systems, Cloud Engineering, Continuous Integration, Information Engineering, Data Files, Python (Programming Language), Machine Learning, Performance Tuning, Software Construction, Systems Integration, Feature Engineering, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Agentic-AI, Information Technology, Machine Learning Operations, Software Version Control, Databricks
- **Published:** October 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=276bb01c9bf02351

## About the Role

* 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.
 * Strong expertise in Machine Learning, Deep Learning, Statistical Modelling and Generative AI.
 * Experience with predictive modelling, optimisation techniques and advanced AI methodologies.
 * Proficiency in Python and Machine Learning/AI development libraries.
 * Experience across the full Machine Learning lifecycle, from development and deployment to monitoring and optimisation.
 * Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and prompt engineering.
 * Knowledge of Agentic AI frameworks and AI agent development.
 * Experience integrating AI solutions with APIs, enterprise data sources and business applications.
 * Familiarity with MLOps and LLMOps practices.
 * Experience with cloud-based AI platforms; Azure and Databricks experience preferred.
 * Knowledge of software engineering best practices, including version control, testing and CI/CD.
 * Strong analytical, problem-solving and communication skills.
 * Ability to work effectively with cross-functional teams and stakeholders.

## Description

* 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.
 * Apply explainability and interpretability techniques to ensure transparency and trust in AI solutions.
 * Promote Data Science, AI Engineering, MLOps and LLMOps best practices, including testing, version control and responsible AI principles.
 * Define monitoring frameworks covering model performance, drift detection, retraining and cost optimisation.
 * Design and execute experimentation frameworks, including A/B testing and causal analysis.
 * Generate insights and advanced analytics to support business decision-making.
 * Collaborate with Data Engineering and business teams to industrialise and operationalise AI solutions.
 * Contribute to AI innovation initiatives and evaluate emerging technologies and use cases.
 * Act as a technical reference for Data Science, Machine Learning and AI Engineering.