Senior Data Scientist

Job Summary

• Responsible for designing and enforcing the framework that ensures our AI and Machine Learning models are ethical, compliant, and technically robust.
• Responsible for overseeing and validating the entire AI/ML lifecycle from experimentation, model design and development to MLOps (model operationalization) across the enterprise, ensuring
• Responsible AI best practices.
• Responsible for conducting due diligence on 3 rd party AI/ML providers and Gen AI applications.

How will you contribute?

• ML Development Governance: Establish standards for data lineage, feature engineering, and algorithm selection to ensure models are built on high-quality, unbiased foundations. Ensure proper audit-ready documentation of model design, development process and model approval.
• ML Operationalization (MLOps) Oversight: Define governance gates for CI/CD pipelines, ensuring automated testing, version control, and audit trails ...