Description

You will build and manage the data science ecosystem, integrating models into the bank's IT infrastructure.

This role is on-site.

Responsibilities

• Maintain and improve the workbench environment for data scientists, handling dependency management and tooling for code quality and continuous testing.
• Interface between data science teams and IT to deploy models into production, ensuring all quality checks are met.
• Manage incidents by identifying root causes, dispatching requests to appropriate squads, and providing post-mortem analysis to stakeholders.
• Explore new ways to combine existing bank tools to expand AI capabilities.
• Communicate technical progress and results directly to top management.

Required Skills

• At least 5 years of relevant experience, including at least 1 year in Data Science and Analytics.
• Strong proficiency with Python.
• Experience with HTTP REST APIs.
• Proficiency with Git version control.
• Experience in MLOps or DevOps.
• Experience with Linux operating systems.
• Any Graduate degree.

Preferred Skills

• Experience in containerization using Docker or Podman.
• Software testing experience.
• Knowledge of the financial services industry.

Key Skills

Education

Any Graduate