Posted 07 July, 2026
Data Science
ClifyX
India
Full Time
Reference: 365_594563_26-01126
Experience:
• More than 5 years of professional experience in data science.
• Proficient in managing and delivering end-to-end projects, from initial scoping to production deployment.
• Python, Azure and Pyspark is required
• Must have exp in Credit risk domain
Skills and Responsibilities:
• Leads projects, including initialization, stakeholder management, and aligning business requirements with technical goals.
• Translates business problems into project requirements and makes informed design decisions.
• Guides projects through approval processes such as MV and ensures successful productionalisation.
• Mentors and supervises junior team members, providing technical guidance and support.
• Demonstrates expert knowledge of data science principles and methodologies, with an awareness of common pitfalls.
• Fluent in coding, adheres to clean coding standards, and ensures scalability and maintainability in solutions.
• Communicates effectively with both technical and non-technical stakeholders, simplifying complex concepts for broader understanding.
• Integrates models seamlessly within the organization's compliance landscape and understands regulatory requirements.
• Advanced proficiency in frameworks such as MLOps (capable of building and maintaining models within the framework) and CTS (able to design features adhering to guidelines).
• Skilled in project management, including planning, execution, and delivery of complete solutions.
• More than 5 years of professional experience in data science.
• Proficient in managing and delivering end-to-end projects, from initial scoping to production deployment.
• Python, Azure and Pyspark is required
• Must have exp in Credit risk domain
Skills and Responsibilities:
• Leads projects, including initialization, stakeholder management, and aligning business requirements with technical goals.
• Translates business problems into project requirements and makes informed design decisions.
• Guides projects through approval processes such as MV and ensures successful productionalisation.
• Mentors and supervises junior team members, providing technical guidance and support.
• Demonstrates expert knowledge of data science principles and methodologies, with an awareness of common pitfalls.
• Fluent in coding, adheres to clean coding standards, and ensures scalability and maintainability in solutions.
• Communicates effectively with both technical and non-technical stakeholders, simplifying complex concepts for broader understanding.
• Integrates models seamlessly within the organization's compliance landscape and understands regulatory requirements.
• Advanced proficiency in frameworks such as MLOps (capable of building and maintaining models within the framework) and CTS (able to design features adhering to guidelines).
• Skilled in project management, including planning, execution, and delivery of complete solutions.
