Principal Data Scientist role leading design, development, and operation of high-rigor analytical and machine-learning systems across complex regulated financial-services estate. Define AI/ML roadmap for Enterprise Solutions while building production-grade models for anomaly detection, variance analysis, drift detection, market signals, forecasting, and prediction. Take models from problem definition through production operation including feature engineering, back-testing, deployment, and monitoring. Work with large complex datasets, design explainable models for regulated environments, and combine statistical models, ML, and rules-based logic. Requires 17+ years experience in analytics, data science, or ML systems in production within financial services or regulated domains. Strong grounding in statistics, machine learning, time-series analysis with hands-on model lifecycle ownership.