Senior Data Scientist

Project description We are seeking an experienced Data Scientist with deep expertise in analytics, machine learning, and statistical modelling within the BFSI domain, particularly focused on UK mortgage products. This role requires a strong blend of technical expertise, business understanding, and leadership in building scalable, production-grade data science solutions. Responsibilities Develop and deploy advanced ML and statistical models for business problems across customer lifecycle and risk. Build customer behaviour models including propensity (cross-sell, churn), segmentation, CLV, and credit/risk models such as prepayments. Apply techniques such as regression, tree-based models (RF, XGBoost, LightGBM), time series, survival analysis, and deep learning. Leverage domain expertise in UK mortgages (origination to redemption), customer lifecycle, and hedging/risk strategies. Translate business problems into analytical solutions and actionable insights through visualization tools and dashboards. (Power BI, Tableau experience is a plus) Work with large-scale datasets using Python, R, PySpark, SQL, and big data platforms (Spark/Hive). Design efficient data pipelines, feature engineering processes, and ensure strong data quality/governance. Establish frameworks for model development, validation, deployment, monitoring, and retraining. Ensure compliance with model governance and regulatory standards (e.g., IFRS 9, Basel where applicable). Collaborate with stakeholders across risk, product, ALM, and engineering teams. Communicate complex analytical insights to non-technical audiences effectively. Skills Must have 8+ years in Data Science / Advanced Analytics. Strong foundation in statistics, ML, and AI techniques. Proficiency in Python, R, PySpark, SQL. Experience with ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost). Hands-on with visualization tools (Power BI, Tableau). Nice to have N/A Other Languages English: C1 Advanced Seniority Senior