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Tier-1 brand, Bangalore metro, mid-level data science role with broad skillset and high applicant density.
Core ML and analytics skills are broadly transferable across industries despite banking context.
Explicit 4+ years, advanced quantitative degree, and technical skill expectations increase filter strictness.
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Lead or contribute to moderately complex data science initiatives using advanced analytics and statistical modeling to provide actionable insights and strategic recommendations.
Analyze large structured and unstructured datasets to generate hypotheses and convert data into meaningful business recommendations.
Collaborate with peers and mid-level managers to drive data-driven decisions and potentially lead projects or mentor junior staff.
4+ years of data science experience or equivalent through work experience, training, education, or military experience.
Master's degree or higher in quantitative disciplines like mathematics, statistics, engineering, physics, economics, or computer science.
Experience with advanced analytical techniques including machine learning methods such as segmentation, regression, decision trees, forecasting, and clustering.
Not explicitly mentioned: specific location, notice period, or mandatory certifications.
Experienced in handling moderately complex data science projects involving large datasets and advanced statistical modeling.
Proficient in programming and data science tools, with knowledge of SQL, Python, SAS, PySpark, and BI tools like Tableau, Power BI, or Excel.
Capable of communicating complex analytical insights effectively to non-technical audiences and able to guide or mentor junior team members.