Experience

- More than 5 years of skilled 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.

📌 Data Science (India)
🏢 Clifyx
📍 India