Senior Python Data Scientist – AI Finance Platform

- 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