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Tier-1 brand, metro Gurgaon, popular Data Scientist title, mid-level seniority increase candidate competition.
Strong banking model governance and AML domain needs reduce cross-industry transferability.
Requires ML/LLM skills, Scala/Spark/Python, model governance and banking controls, so filtering will be strict.
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Design, develop, implement, and maintain statistical, mathematical, and machine learning models for banking applications like credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
Lead a team delivering complex tasks with cross-functional collaboration, setting objectives, coaching, and influencing decision making across business functions.
Monitor model performance, manage risk and controls, evaluate emerging AI technologies, and lead mentoring to build organizational ML capability.
Experience working with SQL, Scala/Spark, Python, and data visualization/dashboard development.
Understanding of data management, model validation principles, and controls.
Relevant qualifications in data analytics or a technical field.
Work Experience Required: Not explicitly mentioned in the JD; Location: Gurgaon (DLF Downtown)
Experienced in solving complex problems using analytical tools and programming for data exploration and visualization.
Capability to lead teams and collaborate across business functions influencing policy and operational effectiveness.
Familiarity with financial crime, AML, transaction monitoring, and related regulatory frameworks is advantageous but not mandatory.