Job highlights

- Experience in developing advanced machine learning models and ensemble techniques using Python and SQL
- Develop, deploy, and improve predictive models for customer lifecycle use cases; work with large datasets to extract and transform data; ensure model robustness and scalability
- 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 environments.
- Solid 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) (Gurugram)
🏢 hrindiasolutions.co.in
📍 Gurugram