Risk Decision Scientist

Oversee and deploy ML pipelines, from development to production.

•  Administer CI/CD pipelines, ensuring tests succeed and artifacts are properly stored.

•   Monitor model performance metrics and set up alert systems for anomalies.

•   Develop credit, fraud scoring and other predictive models.

•   Engage with stakeholders to understand requirements and manage expectations.

•   Document processes, and share knowledge and expertise.

•   Manage project planning, execution, and progress tracking

Requirements

•   Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

•   Proficiency in Python, SQL, and database management.

•   Experience with Docker and deploying applications on cloud platforms such as AWS.

•   Strong experience with CI/CD pipelines, automated testing, and deployment.

•   Ability to effectively use monitoring tools and establish responsive alert systems.

•   Robust documentation skills to clearly record processes and optimizations.

•   Familiarity with SageMaker and other AWS services would be a significant advantage.

Benefits

·       You’ll receive competitive compensation and work with amazing people. You’ll work in a beautiful environment with a flat structure and solve complex, real-world challenges.

·       You'll join a team of top-tier professionals with backgrounds in leading consultancies and banks.

·       You'll play a pivotal role in cultivating a data-driven culture, placing data at the core of all our decisions.