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Tier-1 brand, metro location, mid-level generalist data role, and broad skill requirements drive high competition.
Core data science skills are transferable but financial services familiarity is preferred, so medium sensitivity.
Explicit 5-year requirement plus mandatory data science skills and programming makes shortlisting highly strict.
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Develop and deliver data science and machine learning solutions to measure progress against a firmwide data strategy.
Partner with stakeholders to extract, integrate, and analyze data from varied environments to produce actionable insights and scalable telemetry.
Create and maintain dashboards and visualization tools; present findings and recommendations to senior leadership clearly and effectively.
At least 5 years of experience as a data scientist or a related quantitative role with end-to-end analytics solution delivery.
Proficiency in Python, R, or equivalent programming languages with solid knowledge of supervised and unsupervised machine learning techniques.
Experience handling structured and/or unstructured data across multiple sources in cloud and on-premise environments.
Work Experience Required: Minimum 5 years as stated; Notice Period: Not explicitly mentioned in the JD.
Experienced in building and deploying machine learning solutions, preferably with cloud platforms like AWS.
Able to operate in ambiguous environments by structuring complex problems and driving evidence-based decisions.
Comfortable communicating technical findings to senior stakeholders and collaborating across business and technical teams in a large financial services setting.