Data Scientist 2_Digital Banking Kotak 811_0434_8147_1092078
Kotak Mahindra Bank (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy machine learning prediction models across the customer lifecycle including acquisition, behavior, collections, marketing, and fraud detection.
- Design strategies for delivering best-in-class asset products to customers using big data from digital signals and alternate data sources.
- Lead and manage large-scale projects involving model development, deployment, and partnerships with data providers and companies.
Minimum Requirements
- Advanced degree in Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, or equivalent hands-on experience.
- Experience in Banking/Fintech domain specifically in Credit or Fraud Risk with knowledge of Bureau Data and in-house banking data.
- Proficient coding skills in at least one of Python, SQL, or Pyspark.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced managing end-to-end machine learning model lifecycle including feature engineering, training, validation, deployment and monitoring.
- Familiar with building predictive models using large-scale, complex digital and alternate datasets in the banking or fintech sector.
- Able to lead cross-functional projects and partnerships related to data-driven product innovation and risk modeling.