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