Senior Data Scientist
4 days ago
Role Overview
We are looking for a results-driven Senior Data Scientist to lead high-impact data science initiatives across the credit, customer lifecycle, and collections value chains. You will develop and deploy machine learning models to drive business decision-making, working closely with product, credit, collections, and business teams.
Key Responsibilities
- Lead end-to-end development of machine learning models for:
- Credit risk scoring and loan approval
- Early warning and NPA prediction
- Collections prioritization and segmentation
- Build customer scoring pipelines and collaborate with engineering for deployment
- Conduct exploratory data analysis (EDA) and provide business insights
- Design features and modeling strategies using bureau, CRM, LOS and LMS data
- Mentor junior analysts and data scientists
- Translate complex results into actionable recommendations for non-technical stakeholders
- Ensure model documentation, governance, and compliance with regulatory standards
Skills & Qualifications
- 5+ years of experience in applied data science or machine learning roles
- Proficient in Python, SQL, and ML libraries like scikit-learn, XGBoost, LightGBM
- Experience in building and deploying models in production (APIs, batch jobs, etc.)
- Strong understanding of credit data, bureau reports (CIBIL, CRIF), and financial services KPIs
- Experience working with cloud platforms (AWS preferred)
- Familiarity with BI tools (Power BI, Metabase, or similar)
- Strong problem-solving, communication, and stakeholder management skills
- Degree in Computer Science, Mathematics, Statistics, Engineering, or related field
- Preferred: Prior experience in NBFCs, banks, or fintechs with exposure to credit/collections models
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