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Metro location, popular Data Scientist title, and broad ML/data skill requirements increase applicant competition significantly.
Core ML and data engineering skills transfer across industries, but banking controls domain requires domain-specific knowledge.
Mandatory ML/modeling, Python/SQL, deployment skills and banking/controls context indicate strict technical and domain filters.
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Extract, clean, and transform data from multiple sources to develop and maintain automated data pipelines.
Design, deploy, and optimize statistical and machine learning models to forecast outcomes and identify risks and opportunities.
Lead or guide complex data analytics projects influencing strategic decision-making and operational efficiency within the Chief Controls Office function.
Proficient in Python, SQL with experience handling large and complex datasets.
Hands-on experience with supervised and unsupervised machine learning models, including model design and deployment.
Experience influencing senior stakeholders and translating business requirements into technical solutions.
Work Experience Required: Not explicitly mentioned in the JD, Location: Gurugram.
Experienced in delivering data science solutions that impact business controls, risk mitigation, or governance functions.
Capable of leading or coaching teams in complex analytical tasks and cross-functional projects.
Comfortable collaborating with business and control teams and communicating complex technical concepts to non-technical stakeholders.