Intern, DAT

Sla-Revenue House Level 11entry

OtherIntern

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Quick Summary

Overview

[What the role is]Through this hands-on experience, interns will gain practical exposure to how data enables AI solutions in a government environment.

Technical Tools

OtherIntern

Through this hands-on experience, interns will gain practical exposure to how data enables AI solutions in a government environment. You will work with cross functional teams to support data preparation, AI solution enablement, and coordination across AI initiatives, contributing to SLA’s and Whole of Government digital and AI transformation efforts.

Responsibilities

~1 min read

Support engagement with stakeholders to understand business and operational needs. Assist in translating business problems into AI use cases and data requirements. Document problem statements, assumptions, constraints, and intended outcomes.

Prepare, clean, and organise datasets for use in AI systems and workflows. Support data validation, quality checks, and issue identification. Assist in testing AI systems and services using prepared datasets. Document data-related considerations to support governance and auditability.

Support AI tools, platforms, and cloud environments used for experimentation and deployment. Work with data pipelines and processes supporting AI development and operations. Assist in testing AI services, APIs, and system integrations.

Support tracking of tasks, deliverables, and milestones across AI initiatives. Coordinate inputs across data, engineering, and domain teams. Prepare documentation, summaries, and materials for project discussions and updates.

Student pursuing studies in Computer Science, Data Science, Information Systems, Engineering, or related fields.
Comfortable working with Python and datasets
Interest in applying data and AI to real world business and public sector problems
Understanding of how data quality and readiness impact AI outcomes
Ability to communicate clearly and document work in a structured manner
Curious, proactive, and willing to engage with both technical and business teams
Responsible and mindful of data security, governance, and privacy considerations
Previous coursework, projects, or internships involving data, AI, or digital solutions
Adaptable and open to working across multiple workstreams
Positive mindset and willing to learn about complex organisational challenges
Adaptability and willingness to learn
Responsible and proactive
Able to commit full time from October 2026 to March 2027 / November 2026 to April 2027 / November 2026 to March 2027 for at least 3 to 6 months.
Please include your availability in your CV.