Director Data Science

• URGENT HIRING for Data Science Head
• Email ID: [HIDDEN TEXT]
• Contact : 9300955707
• Head of Data Science
• Location: Gurgaon / Hybrid
• Experience: 3–5 Years
• Role 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 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
• Good 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
• ● Bachelors/Masters 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.
• Interested candidates can apply along with their resume on the below mentioned email ID or whatsapp number
• Email ID: [HIDDEN TEXT]
• Contact: 9300955707