- Company Name
- Societe Generale Assurances
- Job Title
- Data Scientist Référent & Expert Intelligence Artificielle
- Job Description
-
Job title: Data Scientist Lead & AI Expert
Role Summary
Lead the design, development, and deployment of advanced AI solutions across the organization, driving innovation in machine learning, deep learning, NLP, generative AI, RAG, and intelligent agents. Serve as the technical authority in the Data Science & AI team, ensuring model quality, scalability, compliance, and best‑practice MLOps implementation.
Expectations
* Own high‑impact AI projects, from concept to production, delivering measurable business value.
* Stay at the forefront of AI research, integrating cutting‑edge techniques into production systems.
* Mentor junior team members and coordinate cross‑functional collaboration.
Key Responsibilities
* Conduct continuous technological scouting and R&D in AI/ML.
* Develop and optimize models for:
- Document Factory (OCR, computer vision, advanced NLP fine‑tuning).
- Agentic Trajectory (RAG pipelines, intelligent agents, LangChain/Graph).
- Conversational AI (speech‑to‑text, intent recognition, advanced LLM prompt engineering).
* Ensure model performance, robustness, scalability, and compliance with internal frameworks.
* Establish and enforce MLOps best practices (MLflow versioning, CI/CD pipelines, secure API deployment).
* Provide technical guidance to junior data scientists and facilitate knowledge sharing.
Required Skills
* Deep expertise in machine learning (classification, regression, clustering, cross‑validation, over‑fitting control).
* Extensive experience with deep learning for NLP, computer vision, and generative AI (LLMs, Transformers, BERT, YOLO, etc.).
* Proven ability to develop and optimize state‑of‑the‑art models and RAG/agent architectures (LangChain, LangGraph).
* Proficiency in Python frameworks: TensorFlow, PyTorch, Keras, HuggingFace Transformers, LangChain, MLflow.
* Strong MLOps knowledge: model versioning, monitoring, CI/CD, secure API deployment.
* Excellent written and verbal communication, capable of simplifying complex technical concepts.
* Team‑oriented mindset with a passion for continuous learning and feedback culture.
Required Education & Certifications
* Master’s degree or engineering school qualification in Mathematics, Computer Science, Data Science, or AI specialization.
* Minimum 6 years of professional experience as a data scientist or AI engineer, with a track record of large‑scale model deployment.