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Strong Tier-1 brand, metro location, and popular data/ML role increase candidate competition.
Technical ML skills are transferable but commercial card and marketing domain knowledge increases specialization.
Explicit 2-3 years, master's degree requirement, and technical ML/SQL/Python skills raise screening strictness.
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Lead analytics initiatives to drive cross-sell and engagement strategies for Global Commercial Beyond Card products in SME and MM segments.
Drive key US SME strategic growth projects including BLOC, BCA, Blueprint, and AP Automation by delivering actionable insights to leadership and product partners.
Apply emerging AI techniques like GenAI, semantic modeling, and automation to enhance customer targeting and analytical productivity.
Master's Degree in a quantitative field (Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
2-3 years professional experience in Data Science and Analytics domain.
Proficiency in building ML models (e.g., XGBoost, K-Means) and analytical tools such as SQL and Python.
Location: Gurugram-based role.
Experience in commercial card or financial services analytics focusing on customer acquisition and growth.
Strong expertise in applying GenAI technologies including prompt engineering and Retrieval-Augmented Generation (RAG) for business problem solving.
Proven ability to partner with senior stakeholders, influence decision-making, and operationalize analytics solutions at scale.