Hands-on experience : Machine Learning model implementation and deployment, SQL, Python.

Key Responsibilities
- Lead the design, development and validation of credit risk scorecard models using ML, AI, and other statistical techniques, using Financial and Alternate Data.
- Perform advanced exploratory data analysis (EDA), feature engineering, and data preparation on large, complex datasets
- Translate business and risk requirements into analytical solutions and support their integration into production systems. (e.g., AUC, KS, Gini)
- Own end-to-end model lifecycle: development, validation, deployment and ongoing monitoring
- Partner with engineering teams to integrate models into production systems (APIs, batch scoring, real-time decisioning) and collaborate with application teams to ensure robust and scalable implementation of scoring logic
- Develop monitoring frameworks, dashboards, and reports to track model performance, drift and portfolio health
- Produce high-quality technical documentation, validation reports, model reports and stakeholder presentations
- Provide technical guidance, best practices and task allocation to team members and support knowledge transfer across teams.

📌 Data Scientist (Chennai)
🏢 Durus consulting
📍 Chennai