Python and PySpark Machine Learning Data Scientist
Citi (company site, opens in a new tab)4+ yrsGurugramOn-siteDirect career pageEst. 18–30 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Build predictive and machine-learning models from large, complex datasets to address business requirements across multiple portfolios.
- Own or contribute to model validation, implementation and governance, including alignment with Citi standards and fair-lending requirements.
- Partner with business teams to deliver model-driven solutions using traditional statistical methods and machine-learning approaches.
Minimum Requirements
- Work Experience Required: Bachelor’s degree with 4+ years of data analytics experience, or master’s degree with 2+ years; PhD is also listed as an alternative, with no experience threshold specified for that route.
- Bachelor’s degree or equivalent experience is listed under Education; a quantitative-field work background is also required.
- Experience in machine learning and data science, with ability to retrieve and manipulate data.
Ideal Candidate Profile
- Has experience applying quantitative and machine-learning methods to business analytics, with exposure to model development and validation.
- Can operate across the model lifecycle, including implementation and governance in a regulated financial-services setting.
- Experience in marketing, risk, digital or AML analytics may be relevant; these are listed as possible specializations, not mandatory requirements.