Key Responsibilities
Business & Strategy Alignment: Translate complex business and credit risk use cases into end-to-end data science problems and scalable analytical solutions.
Model Development & Deployment: Brainstorm, design, research, and deploy statistical and machine learning algorithms using Python, R, Spark, or Databricks.
Credit Bureau Analytics: Leverage deep expertise in Bureau data to enhance underwriting, risk segmentation, and portfolio insights.
Cross-Functional Leadership: Partner with Policy, Credit, Fraud Risk, Collections, Operations, and Product teams to align models with core business drivers.
Stakeholder Management: Synthesize and present model findings, performance tracking, and strategic insights directly to management.
Mentorship: Provide guidance, technical training, and leadership to data scientists and analysts.

Requirements & Skills
Experience: 4+ years of hands-on experience in data analysis and credit risk/bureau modeling within the BFSI domain.




Core Technical Expertise: Robust mathematical and statistical understanding of algorithms including Gradient Boosting Machines (GBM), Logistic Regression, Linear Regression, and Deep Learning frameworks.
Tools & Languages: Advanced proficiency in Python, R, Spark, or Databricks; experience with cloud environments (e.g., AWS).
Deployment & MLOps: Hands-on experience with productionizing and monitoring machine learning models.
Analytical Mindset: Excellent logical reasoning, data interpretation, and problem-solving abilities.
Leadership & Communication: Solid interpersonal skills with demonstrated capability (or robust preference) in leading team members and communicating insights clearly.
Education: Degree in Statistics, Computer Science, or a related quantitative field preferred.

📌 Data Scientist Mumbai (India)
🏢 SKILLVENTORY
📍 India