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

📌 Data Science Executive (New Delhi)
🏢 Happiest Resume
📍 New Delhi