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Tier-1 employer, metro Bengaluru, mid-level generalist data science role with broad skills, increasing candidate competition.
Data science skills transferrable across industries, but banking domain knowledge moderately increases sensitivity.
Explicit 4+ years requirement and mandatory quantitative Master's degree make shortlisting relatively strict.
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Lead or contribute to moderately complex data science initiatives using advanced analytics and statistical models to generate actionable insights that influence business strategies.
Analyze large, structured and unstructured datasets with advanced techniques to inform recommendations and solve complex problems across various business domains.
Collaborate with peers and managers, potentially leading teams or mentoring staff, to deliver data-driven solutions and communicate insights to non-technical audiences.
4+ years of data science experience or equivalent demonstrated through work/training/military/education.
Master's degree or higher in quantitative disciplines such as mathematics, statistics, engineering, physics, economics, or computer science.
Proficiency with languages: SQL, Python, SAS, PySpark (Desired but mentioned in qualifications).
Work Experience Required: 4+ years explicitly mentioned.
Experience working with machine learning techniques including segmentation, regression, decision trees, forecasting, and clustering in analytical projects.
Ability to work independently on complex data science tasks while managing multiple priorities in a dynamic environment.
Strong communication skills to explain technical findings to non-technical audiences and collaborate effectively with cross-functional teams.