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Tier-1 brand, generalist Data Scientist title, mid-level experience, Bangalore metro, and broad toolset required.
Requires credit card or retail banking analytics experience, creating strong industry-specific fit requirements.
Explicit 4-5 years requirement, mandatory credit-card analytics experience, and specific analytics tool proficiency.
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Deliver and implement data analytics projects focused on credit card portfolio strategies for Visa clients.
Leverage multiple data sources, including client and third-party data, to drive insights and business value in banking and credit cards domain.
Engage with clients and internal stakeholders to advocate analytics best practices and explore innovative data methodologies and tools.
Degree in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering.
4-5 years of analytics experience applying statistical solutions to business problems.
Experience specifically in credit cards and/or retail banking analytics.
Proficiency with data analytics/programming tools like SAS, Hadoop, R, SQL, Python, or Hive.
Experienced in applying advanced analytics within credit cards or retail banking sectors, comfortable working on portfolio strategies.
Able to manage multiple analytics projects concurrently in a client-facing, consulting environment.
Familiar with data science communities and strong in data storytelling and presentation skills to communicate insights effectively.