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Tier-1 brand, metro location, generalist Data Scientist title, and broad ML/analytics requirements raise candidate competition.
Core ML and data engineering skills are transferable, but banking controls domain requires domain-specific experience.
Mandatory ML/model deployment, Python/SQL skills and AVP leadership expectations increase shortlisting rigor.
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Own data extraction, cleaning, pipelining, and transformation from multiple internal and external sources to ensure quality and readiness for analysis.
Develop, deploy, and maintain machine learning and statistical models for predictive analytics, risk identification, and operational insights.
Collaborate with business stakeholders to translate requirements into technical solutions and influence decisions through data-driven insights while supporting Chief Controls Office functions.
Proven experience in data science with hands-on skills in Python, SQL, and working with large complex datasets.
Experience designing, deploying, and optimizing supervised/unsupervised machine learning models.
Location requirement: Based in Gurugram.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in collaborating with senior stakeholders and translating business requirements into technical data science solutions.
Familiar with tools like Spark, Alteryx, Tableau/Power BI, and cloud platforms is preferred.
Demonstrated ability to lead or influence teams, train end users, and contribute to risk and control functions within a regulated environment.