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Medium due to strong employer brand and metro location but senior, specialized role reduces density.
Medium because core ML skills transfer broadly, but banking model risk and governance require industry-specific experience.
Medium because technical ML, cloud and governance skills plus leadership are required but no explicit years stated.
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Lead design and implementation of data science tools and methods to drive customer solutions.
Develop and deploy ethically sound machine learning models end-to-end with focus on bias mitigation and governance.
Lead and collaborate within agile, multidisciplinary data and analytics teams to meet project goals and stakeholder needs.
Work Experience Required: Not explicitly mentioned in the JD.
Mandatory expertise in Python programming and libraries like Pandas, NumPy, Scikit-learn.
Experience with cloud platforms, specifically AWS Sagemaker.
Academic background in STEM fields such as Mathematics, Physics, Engineering, or Computer Science.
Strong ability to translate complex business questions into advanced analytics solutions with a Group-wide perspective.
Experienced in building, validating, and scaling machine learning models with awareness of model risk and ethical considerations.
Skilled in stakeholder engagement and leading cross-functional agile teams in data science and analytics environments.