Head of Data Science

Location: Gurgaon / Hybrid

Experience: 7–12 Years

Compensation:35-40 LPA (CTC)

Role Summary

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 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

Valuable to Have Skills

● Experience with LLMs, AI Agents, RAG, LangChain, LangGraph, LlamaIndex or similar frameworks.

● Knowledge of Credit Risk Modelling, Credit Bureau data and lending analytics.

● Exposure to MLOps, Docker, Cloud platforms (AWS/Azure/GCP) and production ML systems.

Qualifications

● Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field.

● 7–12 years of Data Science or Machine Learning experience.

● At least 3 years of experience leading and mentoring high-performing Data Science or Machine Learning teams.

● Prior experience in NBFCs, Banking, Lending or FinTech is strongly preferred.

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