Lead Data Scientist NBFC

Intelli Search Services; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Intelli Search in Bengaluru, India, is seeking a Manager – Data Science for a banking and financial services domain. The role leads a small team, builds credit risk models, and drives MLOps governance. Requirements include 7–10 years in credit risk analytics within Banking/NBFC/Fintech, strong Python and SQL skills, and expertise in XGBoost/LightGBM.

Masters or Bachelors in related field. Location: On-site at HRBR Layout / North Bangalore; a strategic, hands-on leader will shape modeling

Qualifications

• 7–10 years experience in credit risk analytics within Banking/NBFC/Fintech.
• Hands-on expertise in Python and SQL (Mandatory).
• Experience with tree-based models (XGBoost, LightGBM), regression, and MLOps.
• Strong leadership and team management skills.

Responsibilities

• Lead and mentor a team of 3–5 data scientists.
• Build and manage credit risk models (Scorecards, PD/LGD/EAD, EWS).
• Develop commercial predictive models (Propensity, CLV, cross-sell, churn).
• Oversee model governance and MLOps workflows.

Skills

Python

SQL

Leadership

MLOps

Credit risk analytics

Education

Bachelor's or Master's in Data Science/Statistics/CS

Tools

XGBoost

LightGBM

MLflow

Job description

Lead Data Scientist Banking loans

Intelli Search Bengaluru, Karnataka, India (On-site)SaveApply

Hiring: Manager Data Science

Location: HRBR Layout / North Bangalore (Work from Office)

Experience: 7–10 Years (Banking / NBFC / Fintech) must

We are hiring a Manager – Data Science for a leading Financial Services enterprise.

Key Responsibilities

• Lead and mentor a team of 3–5 data scientists.

Risk & Commercial Quantitative Modeling:

Build and manage credit risk models (Scorecards, PD/LGD/EAD, Early Warning Systems).

Model Lifecycle Governance & MLOps Integration

• Develop commercial predictive models (Propensity models, CLV, cross-sell, churn forecasting).
• Manage model governance and MLOps workflows.

Requirements

• 7–10 years experience in credit risk or commercial analytics within Banking/NBFC/Fintech.
• Hands-on expertise in Python and SQL (Mandatory).
• Experience with tree-based models (XGBoost, LightGBM), regression, and MLOps.
• Strong leadership and team management skills.
• Master's or Bachelor's degree in Data Science, Statistics, CS, or a related field.