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Tier-1 brand and popular Data Scientist title create moderate competition.
Medium because ML skills are transferable but financial domain/regulatory context increases domain bias.
Medium due to required ML DevOps lifecycle familiarity and advanced analytics skills without explicit years.
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Enable analysis, modeling, and optimization by producing analytic information products focused on revenue generation, risk management, operational efficiency, regulatory compliance, and portfolio management.
Support creation and deployment of advanced analytic systems using complex data (VLDB, multi-structured, big data) and advanced techniques (machine learning, text mining, statistical analysis).
May manage associates and lead teams through process improvements, risk management, and delivery of business outcomes following agile and ML DevOps lifecycle.
Minimum Education: High School Diploma / GED / Secondary School or equivalent.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with machine learning DevOps lifecycle and agile practices is expected.
Role limited to GBS India locations (TO BE USED FOR GBS INDIA ONLY).
Experienced in advanced analytics involving complex, large scale data and deployment of machine learning or AI techniques.
Capable of managing teams and driving business outcomes through structured team management and coaching.
Comfortable operating in an agile environment with knowledge of ML DevOps and responsible for end-to-end analytic solution delivery.