Own the vision, strategy, and execution of TapLend's Data Science function by building and scaling a high-performing team, driving AI and analytics initiatives, and delivering scalable machine learning solutions across underwriting, credit risk, fraud detection, collections, and lending operations. Key Responsibilities ● 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 behavior. ● 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

📌 Data Science Intern (Delhi)
🏢 Happiest Resume
📍 Delhi