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Tier-1 bank, popular Data Scientist role in Gurugram with broad ML/cloud requirements drives high competition.
Core ML and software skills are transferable, though banking domain knowledge increases role specificity.
Strong mandatory ML, cloud, MLOps and technical stack requirements produce moderate filtering despite no years specified.
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Own end-to-end data pipeline development and maintenance for automated data acquisition and processing.
Design, develop, and deploy statistical and machine learning models to generate actionable business insights and predictive outcomes.
Collaborate with business stakeholders to identify and implement data-driven solutions impacting customer, risk, and commercial decisions.
Strong programming skills in Python and SQL.
Experience in developing and deploying machine learning models including supervised and unsupervised techniques.
Familiarity with cloud-based analytics platforms such as AWS or equivalent.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working with large, complex datasets including data preparation, feature engineering, and model optimization.
Knowledge of software engineering and MLOps principles including version control, testing, and deployment.
Able to translate complex business problems into scalable analytical solutions and clearly communicate with non-technical stakeholders.