Dynamic Risk Scoring Predictive Model

Design a sophisticated risk scoring system using Python that can dynamically assess and predict risk across multiple dimensions. Utilize ensemble machine learning techniques, implement bayesian probabilistic modeling, and create a flexible scoring framework that can be adapted to different risk assessment scenarios. Include feature importance analysis, confidence interval calculations, and develop an interpretable model that provides clear risk explanations alongside numerical scores.