Data Scientist - Analytics CoE

We are looking for a hands-on Data Scientist / ML Engineer to build and deploy credit risk and decisioning models for an NBFC/banking environment. The role focuses on production-grade machine learning systems, including model development, deployment, scalability, and integration into decision engines. This is not a research-heavy AI role-the expectation is strong ownership of end-to-end pipelines, from data to production, with emphasis on robustness, performance, and business impact. Key Responsibilities: 1. Credit Risk & Decisioning Models Develop and maintain models for: Credit risk (PD, delinquency, segmentation) Customer behaviour (collections, engagement, response) Income estimation / surrogate modelling (where applicable) Work with bureau data (e.g., CIBIL/CRIF), transactional data, and alternative data sources Translate business policies into model-driven decision frameworks 2. Data Engineering & Feature Pipelines Build scalable feature pipelines using: - Python / PySpark / SQL Handle large-scale datasets (structured + semi-structured) Implement robust feature engineering (e.g., bureau features, exposure, EMI, leverage, etc.) 3. Model Deployment & Integration Deploy models into production systems using: - Docker, Kubernetes, or similar containerization tools Integrate models with decision engines / APIs Ensure low-latency and high-throughput inference pipelines 4. MLOps, Testing & Monitoring Implement: - Integration testing for model pipelines - Stress testing (performance under load) - Model monitoring (drift, stability, performance) - Work with DevOps teams to ensure reliable production systems Handle versioning, rollback strategies, and model lifecycle management 5. Cloud & Infrastructure Work on AWS-based environments (or equivalent cloud platforms) Understand distributed systems and compute optimization Optimize pipelines for performance and cost 6. Cross-functional Collaboration Work closely with: - Risk teams - Product / business stakeholders - Data engineering & platform teams Translate business requirements into scalable technical solutions Job Snapshot Updated Date 04-08-2026 Job ID JOB_2362 Department Analytics - CoE Location Corporate Office - Vasant Vihar - VII, New Delhi, Delhi, India Employee Type Permanent .