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Generalist data science role, metro Bengaluru, mid-level experience, and broad skillset create high applicant competition.
Core data science skills transfer well, but required credit/financial-services domain knowledge raises sensitivity to medium.
Explicit 2+ years requirement, financial-services domain knowledge, and mandatory Python/SQL/Spark skills increase shortlist filtering to medium.
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Design and develop predictive and audience (lookalike) models using proprietary consumer data to support client acquisition, targeting, and engagement.
Build and execute analytics use cases (descriptive, predictive, prescriptive) using regression, clustering, segmentation, and ensemble models.
Collaborate with internal and external stakeholders to translate business needs into scalable analytics solutions and communicate insights to executives.
2+ years of analytics experience including internships in financial services or related industries.
Bachelor's degree in quantitative field (Statistics, Mathematics, Engineering, Operations Research) or equivalent experience.
Proficiency in statistical and machine learning techniques like regression, clustering, and ensemble models.
Experience with large-scale (big data) environments and tools such as Python, R, SQL, Spark.
Experience in financial services domain especially credit risk or marketing analytics enabling relevant analytic solutions.
Ability to work in a global, matrixed organization collaborating across geographies and teams.
Capability to independently deliver analytics solutions in complex environments with moderate supervision.