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Mid-level Data Scientist in a metro with broad ML, Python/SQL and BI requirements increases applicant competition.
Strong data skills transferable, but Financial Crime and payments domain knowledge raises industry specificity.
Requires specific Python/SQL, BI and ML skills but lacks explicit years, so moderate shortlisting rigidity.
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Own data extraction, cleaning, transformation, and development of data pipelines for analysis in Financial Crime Operations.
Design, implement, and maintain machine learning and statistical models to analyze payment screening, sanctions data, and support risk mitigation and operational efficiency.
Collaborate cross-functionally to deliver insight generation, automation, MI reporting, and translate data into actionable business outcomes.
Proficient in Python and SQL for data extraction, transformation, and analysis.
Experience with data visualization tools such as Power BI and Tableau.
Work Experience Required: Not explicitly mentioned in the JD.
Role is based in Pune, India.
Experience or strong understanding of Financial Crime Operations and end-to-end payment flows.
Skilled in building and maintaining analytical tools and pipelines that support automation and machine learning initiatives.
Demonstrates strong ownership of deliverables with ability to manage tight deadlines and communicate effectively across stakeholders.