- Company Name
- KPMG France
- Job Title
- Data Scientist Confirmé H/F
- Job Description
-
**Job Title**
Senior Data Scientist
**Role Summary**
Lead end‑to‑end development of AI models for strategic business use cases, collaborating with Data, Software, MLOps, and Product teams to deliver production‑ready solutions.
**Expectations**
- Minimum 2 years of experience designing and deploying AI/ML models.
- Professional proficiency in English for cross‑regional collaboration.
- Strong analytical rigor, technical creativity, curiosity, autonomy, and teamwork.
**Key Responsibilities**
- Analyse business requirements, qualify use cases, and identify relevant structured or unstructured data sources.
- Design, extract, clean, and structure datasets for model training.
- Build, train, and evaluate Machine Learning, Deep Learning, and LLM solutions; assess metrics, bias, hallucinations, and robustness.
- Work with Data Engineers to prepare high‑quality datasets.
- Partner with MLOps for model deployment, monitoring, and pipeline definition (training, scoring, performance tracking).
- Document technical solutions and support knowledge transfer to operations teams.
- Engage in continuous improvement: share best practices, stay abreast of emerging frameworks and tools, and contribute to AI Lab knowledge sessions.
**Required Skills**
- Programming: Python (pandas, scikit‑learn, PyTorch, LangChain), SQL.
- Models & Frameworks: LLMs (OpenAI, Mistral, LLaMA, Claude), traditional ML/Deep Learning, NLP.
- Cloud & MLOps: Azure Machine Learning, MLflow, CI/CD, GitHub Actions, Azure DevOps.
- Data & Storage: Azure Data Lake, SQL Server, Cosmos DB.
- Development Environments: Visual Studio Code, Jupyter, Git.
- Best practices: version control, reproducibility, data quality management, model monitoring.
- Knowledge of corporate finance, audit, or consulting valuable but not mandatory.
**Required Education & Certifications**
- Bachelor’s +5 years’ equivalent in Data Science, Computer Science, Applied Mathematics, or related discipline.
- Professional certifications in ML/datascience or cloud technologies are an advantage.