Keshav Puram Delhi Delhi Data scientist analytics coe Jobs – 3 Open Jobs Today

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Data Scientist - Analytics CoE

Hero FinCorp -
Delhi, Delhi

Apply Now

Job details

Permanent
3 days ago

Qualifications

Cloud infrastructure
Kubernetes
SQL
AWS
Docker
Machine learning
Distributed systems
APIs
AI
Python

Full job description

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

Apply Now

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