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Tier-1 employer, mid-level data role in Bengaluru with broad skill requirements increases competition.
Core data science skills are transferable across industries, though banking experience is desirable.
Explicit 5+ years, Master's expectation, and mandatory technical skills create high shortlisting strictness.
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Lead complex data science initiatives using advanced analytical techniques to generate actionable insights with broad, cross-functional impact.
Review and solve complex, multi-faceted business or technical challenges through advanced hypothesis generation and analysis, influencing and leading teams to meet deliverables.
Strategically collaborate with mid-level to senior managers to drive data-driven recommendations and strategies, and mentor peers on data science best practices.
Minimum 5+ years of data science experience or equivalent through work experience, training, military experience, or education.
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Mandatory skills include programming and data handling in Python, PySpark, SQL, and experience with large datasets.
Work experience in Large Banks/Financial Services and familiarity with cloud environments and BI tools are desirable but not mandatory.
Experience delivering strategic insights and recommendations within large banking or financial services environments.
Strong quantitative problem-solving skills and ability to communicate complex data insights effectively to non-technical stakeholders.
Competence in mentoring junior data scientists and establishing data science best practices in dynamic, multi-priority environments.