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Tier-1 brand and metro location raise interest, but senior niche GenAI skills limit broad applicants.
Core ML/NLP skills are transferable but banking controls and domain knowledge increase fit sensitivity.
Explicit 8+ years and mandatory ML/NLP/GenAI expertise drive strict screening.
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Own and manage data platforms to streamline data creation, management, and governance for analytics use with compliance.
Lead and deliver multiple complex analytic projects involving machine learning, NLP, and GenAI technologies impacting North America Consumer Bank portfolios.
Manage teams, technology partners, and stakeholder relationships to develop client-centric analytical solutions and present findings to senior management.
Bachelor's degree in computer science, engineering, mathematics, operations research or related quantitative field; Master's preferred.
8+ years of industry experience in ML/data science using supervised, unsupervised learning, deep learning, NLP, and GenAI technologies.
Strong proficiency in Python, SQL, Linux, and experience with ML frameworks such as TensorFlow/Keras and NLP libraries like NLTK, spaCy.
Location requirement: Pune, India; Experience with credit cards and retail banking products is a plus.
Experienced technology leader capable of managing teams and technology partners within a regulated financial services environment.
Proficient in end-to-end analytic project execution combining business context with advanced ML, GenAI, and data engineering techniques.
Skilled in stakeholder engagement and communication, able to influence cross-functional teams and senior leadership with data-driven insights.