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Tier-1 brand, mid-level data science role, metro Bangalore, and broad skill requirements increase competition.
Core data science skills are transferable, but financial and AML specializations increase domain sensitivity.
Explicit 5–8 years and finance/data domain expectations create moderate shortlisting rigidity.
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Own analysis and exploration of large and complex internal and external data sets to evaluate and recommend business strategies.
Develop and improve analytical techniques, data workflows, and processes within the specialized analytics area.
Lead and influence teams through informal/formal leadership roles, including coaching and training new recruits.
5-8 years of work experience in a quantitative field, preferably Financial/Credit Card industry.
Proficiency in data retrieval and manipulation tools such as SQL and Access.
Bachelor's degree or equivalent experience.
Excellent communication skills and ability to work in a matrix environment.
Experienced data analyst/scientist with specialization potential in marketing, risk, digital, or AML domains.
Capable of providing innovative data-driven solutions and effectively collaborating with cross-functional teams.
Demonstrates good judgment in risk assessment and compliance adherence impacting business decisions.