AI/ML Data Scientist
Barclays (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 25–45 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, implementation, and support of mathematical, statistical, and machine learning models for business decision-making in the economic crime risk domain.
- Deliver high-performing, well-documented analytical and modeling solutions, proving efficacy to business users and validation teams, with ongoing operational support.
- Collaborate with technology teams to operationalize models and analytics ensuring compliance with Barclays Enterprise Risk Management and Model Risk policies.
Minimum Requirements
- Strong proficiency in Python, SQL, and Spark/PySpark for data science and machine learning.
- Experience in predictive model development, validation, monitoring, and lifecycle management.
- Familiarity with version control tools (Git, Bitbucket), JIRA, and adherence to model governance policies.
- Work Experience Required: Not explicitly mentioned in the JD; Location: Role based in Gurugram.
Ideal Candidate Profile
- Demonstrated ability to lead and supervise a team, allocate work, and support professional development in a technical analytics environment.
- Strong domain expertise in risk and quantitative analytics, with understanding of financial services/banking domain considered advantageous.
- Experienced in collaborating across functions and influencing decision-making within analytics, with responsibility for risk management and regulatory compliance.