Develop and help deploy advanced machine learning models, including ensemble techniques, for customer lifecycle use cases (e.g., pre-screen, acquisition, account management, collections, and fraud).
Collaborate with cross-functional teams to define, develop, and improve predictive models that drive business decisions.
Work with large datasets, utilizing tools like Python and SQL, to extract, clean, and transform data for modelling purposes.
Ensure model robustness, interpretability, and scalability within banking settings.
Robust problem-solving skills with the ability to handle complex datasets and turn them into actionable insights.
📌 Urgent Data Scientist Machine Learning Models , Credit Risk, Bfsi Bengaluru
🏢 HR India Solutions
📍 Bengaluru
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