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Tier-1 bank, popular Data Scientist role, metro location, and mid-level profile create high applicant competition.
Core Python/ML skills are transferable, but financial-crime and payments domain knowledge increases background sensitivity to medium.
Several mandatory technical skills and domain expectations but no explicit years requirement, so medium strictness.
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Extract, clean, and transform data from multiple sources to enable analysis and predictive modeling.
Develop, maintain, and automate data pipelines and analytical tools to support operational efficiency and risk mitigation.
Collaborate with business stakeholders to deliver insights and support decision making within Financial Crime Operations, focusing on payment screening and sanctions processes.
Proficiency in Python and SQL for data extraction, transformation, and analysis.
Experience with data visualization tools such as Power BI or Tableau.
Work Experience Required: Not explicitly mentioned in the JD.
Location Requirement: Pune, India.
Technical expertise in data science with a focus on Financial Crime Operations and payment flows.
Experience in developing predictive models and automation initiatives in a financial services context.
Capable of managing daily deliverables under tight deadlines with strong ownership and effective communication skills.