Intern Delivery Operations & AI Enablement

Overview

We are looking for an enthusiastic intern to act as an AI enabler within the Delivery Management function. This is a hands-on analytical role; you will work closely with the Delivery BI team and Delivery Governance to observe how delivery and governance processes run day-to-day identify recurring manual effort as automation candidates and support building and validating AI-driven solutions that reduce operational overhead.

This role is ideal for a recent graduate or final-year undergraduate who enjoys working with data asking why do we do it this way and turning observations into practical AI-enabled improvements.

Key Responsibilities

• Observe and document recurring delivery governance activities; reporting tracking and reconciliations ; treating each as a candidate for AI-driven automation
• Analyze operational workflows to identify repetitive manual effort and prioritize automation opportunities by impact and feasibility
• Support building AI-driven solutions for prioritized processes; including Microsoft 365 Copilot use cases Copilot Studio agents automation scripts and automated reporting flows
• Assist in validating AI-generated outputs from a human-judgment perspective ensuring accuracy quality and governance compliance before automated solutions are relied upon
• Document processes automation designs and validation findings clearly for review by the Delivery team
• Collaborate with delivery stakeholders under supervision to gather feedback and support adoption of automated solutions

Person Specifications

• Recent graduate or undergraduate (final year) in quantitative or analytical discipline; e.g. statistics mathematics management information systems industrial management business analytics or similar
• Working knowledge of Microsoft Excel is required; exposure to SQL Power BI basic Python scripting or AI tools such as Microsoft 365 Copilot Copilot Studio or similar platforms will be an added advantage
• A keen analyst: strong attention to detail comfort with numbers and structured information and genuine curiosity about how processes work; and how AI can improve them
• Clear written and verbal communication; able to explain findings simply
• Proactive organized and comfortable asking questions