Lead Data Scientist
Bajaj Finserv · Pune
- Experience10–12 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelexecutive
- Posted2 Sept 2026
About Bajaj Finserv
Bajaj Finserv is hiring in Pune in financial services. This role looks for around 10+ years of experience.
Skills
- Machine Learning
- feature engineering
- model training
- model evaluation
- MLOps
- distributed ML infrastructure
- feature stores
- model registries
- underwriting
- credit risk
- portfolio risk monitoring
- fraud detection
- anomaly detection
- model governance
- model explainability
- BFSI regulatory standards
- AI platform architecture
- incident management
The role
A lead data scientist at a financial services company builds production-scale Machine Learning systems for lending decisioning, specializing in credit risk and fraud detection while applying MLOps pipelines and model governance. The role designs feature stores, model registries, explainability practices, and AI platform architecture for regulated financial products.
Full job description
Responsibilities:
Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
Own the complete ML lifecycle, including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimisation.
Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
Define AI platform architecture, operational excellence, SLAs, and incident management practices.
Build, mentor, and scale high-performing AI Engineering and Data Science teams.