Data Scientist FR x2 - Emagine Consulting

Senior Python Data Scientist – AI Finance Platform

Paris

Responsibilities

• Design and develop scalable Python-based data pipelines for financial data ingestion, transformation, and analysis.
• Build and deploy machine learning models to generate predictive insights and improve platform intelligence.
• Contribute to and lead end-to-end model lifecycle (MLOps) including experimentation, validation, deployment, and monitoring.
• Develop AI-driven solutions, including exposure to NLP and Generative AI use cases (e.g., LLMs, RAG pipelines).
• Implement data quality, validation, and governance frameworks aligned to regulatory and security standards.
• Design and build analytics dashboards and monitoring tools to track model performance and data health.
• Collaborate with cross-functional teams including data engineering, product, and business stakeholders to deliver scalable AI solutions.
• Translate complex analytical outputs into clear, actionable insights for senior stakeholders.
• Contribute to continuous improvement and innovation across AI and data capabilities within finance platforms.
• Support the development of robust, scalable, and maintainable data science solutions within enterprise environments.

Key Skills and Experience

• Strong experience in Python programming, with hands‑on use of libraries such as Pandas, Scikit‑learn, PySpark or similar.
• Proven experience building and maintaining data pipelines and data products at scale (cloud or distributed environments).
• Solid understanding of machine learning techniques, including predictive modelling, classification, regression, and/or NLP.
• Experience deploying models into production with MLOps frameworks (CI/CD, model monitoring, lifecycle management).
• Strong understanding of data quality, governance, and security standards, ideally within regulated environments.
• Experience working in cross‑functional teams delivering end‑to‑end data science solutions.
• Strong data analysis skills with the ability to work with large, complex datasets.

Desirable Experience

• Experience within banking or financial services (e.g. lending, payments, risk, customer analytics).
• Exposure to Generative AI / LLM frameworks and AI‑driven automation use cases.
• Experience with cloud platforms such as Azure, Databricks, or AWS.
• Knowledge of AI‑assisted data validation, monitoring, or model governance frameworks.
• Experience building analytics dashboards (e.g. Dash, Plotly, Power BI).
• Strong stakeholder management skills, including exposure to senior or C‑suite stakeholders.
• Experience mentoring or guiding junior data scientists.

emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin.