Data Science Intern
Job Summary
Own the vision strategy and execution of TapLends 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
Required Skills:
PythonSQLPandasNumPyBasic machine learning conceptsData visualizationStrong analytical mindsetEffective communication