Head of Data Science

Head of Data Science

Location: Gurgaon / Hybrid

Experience: 712 Years

Compensation:35-40 LPA (CTC)

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.

712 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.

How many team members you handled

How many years of leadership do you have

How many years of experience do you have in financial sector

What is the reason for changing the job

Required Skills:

PythonSQLPandasNumPyMachine Learning: XGBoost LightGBM CatBoost Scikit-learnCredit Risk Analytics Scorecards PD/LGD concepts Bureau AnalyticsFraud Detection Portfolio Analytics Affordability & Early Warning ModelsClickHouse PostgreSQL MySQL SparkPower BI Tableau or Grafana