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: Strong 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 strong preference) in leading team members and communicating insights clearly.
- Education: Degree in Statistics, Computer Science, or a related quantitative field preferred.

📌 Data Scientist (Mumbai)
🏢 SKILLVENTORY
📍 Mumbai