About the opportunity

As a Data Scientist, you will design, build and deploy production‑grade data science, machine learning and GenAI solutions that address complex, real‑world problems. This is a hands‑on, end‑to‑end role where you will own the full data science lifecycle, apply strong software engineering practices, and collaborate closely with stakeholders to translate business needs into scalable technical solutions. You'll work autonomously, plan your own delivery, and contribute to modern, cloud‑based AI platforms and products.

Your key responsibilities will be to:

• Design, build and deploy production‑ready ML, AI and Gen AI solutions, including LLM‑powered applications and agentic AI systems
• Own the full data science lifecycle: problem definition, experimentation, validation, deployment and ongoing monitoring
• Apply software engineering best practices, including clean, testable code, CI/CD pipelines and GitHub‑based workflows
• Build and maintain ML and AI pipelines using cloud technologies, with a strong focus on reliability and scalability
• Collaborate with stakeholders to translate business problems into robust, technical solutions
• Proactively plan your work, define milestones, manage priorities and communicate timelines clearly

About you

• An experienced Data Scientist with strong machine learning and Gen AI expertise, and a track record of delivering production‑grade solutions
• Excellent proficiency in Python and SQL, with a strong understanding of how production software systems are built
• Hands‑on experience with cloud technologies (ideally Azure), ML Ops practices, and GitHub‑based development workflows
• Experience building or working with LLM‑based applications, AI agents, and modern AI architectures
• Highly autonomous, self‑motivated and accountable, with a strong sense of ownership
• A clear communicator who can explain complex technical concepts simply and effectively

Sponsorship / work rights for Australia

You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Kristy Fairweather, Recruitment Operations, by email to k***@*************.

The University reserves the right not to proceed with any appointment.

Applications Close Sunday 12 April 2026 11:59 PM