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Tier-1 brand, metro location, popular data/ML role with broad required skills increases applicant competition.
Transferable ML and BI skills, but fintech business acumen increases domain specificity.
Mandatory ML, Python, Power BI and Fabric skills required but no explicit years makes filters moderately strict.
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Design, develop, and deploy advanced machine learning models and analytics pipelines using Python and Microsoft Fabric to generate predictive insights from large datasets.
Create and maintain Power BI dashboards integrating ML outputs and advanced analytics for executive decision-making and business impact measurement.
Translate complex data analyses into clear, compelling narratives and visuals that inform senior leadership and drive actionable business strategies.
Strong expertise in machine learning, statistical modeling, and advanced analytics.
Proficiency in Python for machine learning and data analysis (pandas, NumPy, scikit-learn).
Hands-on experience with Power BI, including advanced data modeling, DAX, and executive-level visual storytelling.
Experience with Microsoft Fabric and modern analytics architecture is mandatory. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in bridging technical ML analytics with business acumen to align insights with operational, financial, and strategic objectives.
Capable of delivering executive-level data storytelling, combining complex data interpretation with influencing leadership decisions.
Proficient in building scalable, reproducible ML workflows and integrating them into enterprise BI solutions within fintech or data-driven environments.