Data Science Executive

Lead mentor and scale the Data Science and Analytics team. Define and execute the AI and Data Science roadmap aligned with business objectives. Design build and deploy machine learning models for credit risk fraud detection affordability assessment and customer behaviour. Develop AI-powered solutions for underwriting collections customer support and operational automation. Own the end-to-end machine learning lifecycle including feature engineering model development deployment monitoring and continuous improvement. Partner closely with Product Risk Engineering and Business teams to deliver measurable business impact. Present strategic insights model performance and recommendations to senior leadership. Drive innovation by evaluating and adopting emerging AI and Generative AI technologies. Establish best practices for experimentation model governance and AI development. Hire mentor and retain top Data Science talent. Technical Skills Python SQL Pandas NumPy Machine Learning: XGBoost LightGBM CatBoost Scikit-learn Credit Risk Analytics Scorecards PD/LGD concepts Bureau Analytics Fraud Detection Portfolio Analytics Affordability & Early Warning Models ClickHouse PostgreSQL MySQL Spark Power BI Tableau or Grafana

Required Skills:

PythonSQLPandasNumPyXGBoostLightGBMCatBoostScikit-learnCreditRiskAnalyticsScorecardsPDLGDconceptsBureauAnalyticsFraudDetectionPortfolioAnalyticsAffordabilityEarlyWarningModelsClickHousePostgreSQLMySQLSparkPowerBITableauGrafanaLeadershipMentorshipRoadmapDevelopmentModelGovernanceExperimentationCrossfunctionalCollaborationCommunicationProblemSolving