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
- model deployment
- model monitoring
- distributed ML infrastructure
- feature stores
- model registries
- MLOps
- credit risk
- fraud detection
- anomaly detection
- lending lifecycle decisioning
- model governance
- explainability
- BFSI regulatory standards
- AI platform architecture
- incident management
The role
A data scientist at a financial services company leads AI product pods for credit risk, fraud detection, and collections, building production-scale Machine Learning systems and managing MLOps pipelines. The role applies model governance and explainability to lending lifecycle decisioning while shaping scalable AI platforms and mentoring technical teams.
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 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.