Full-time, Continuing position
Salary $103,603 - $112,144 + 17% Superannuation and Flexible Working Arrangements
Based at the Melbourne CBD campus, and hybrid ways of working
About You
As a Data Scientist in RMIT’s Data & Analytics team, you’ll work across a range of complex enterprise datasets to deliver insights, models and data products that support decision‑making across the university. You’ll contribute to the development and enhancement of analytics solutions already in production, including products that use large language models (LLMs), semantic search and curated data, while also partnering with stakeholders to explore new use cases and opportunities. This role involves working end‑to‑end, from understanding business problems through to building, testing and improving models, dashboards and data pipelines that are actively used.
This role suits a hands‑on data scientist with strong SQL skills and experience working in Snowflake or similar cloud data platforms, alongside exposure to dbt and Git‑based version control. You’ll be confident using Python or R (expertise in one is sufficient), and have solid foundations in statistics, machine learning and model evaluation. Experience working with text‑heavy or unstructured data, analytics products, or modern AI‑enabled platforms will be highly regarded. We’re looking for someone who can work independently, adapt across different problem domains, communicate clearly with non‑technical stakeholders, and apply good software engineering and data science practices to deliver practical, scalable solutions.
To be successful in this position, you’ll have:
Knowledge of a variety of machine learning and artificial intelligence techniques (regression, statistical tests, text mining, decision tree learning etc), how to apply these techniques to solve real-world business problems, and an understanding of how to evaluate the performance of models
Good programming skills, is able to manipulate structured and non-structured data in distributed environments. Is experienced at building model using tools and libraries but also in creating bespoke new algorithms
Advanced knowledge of analytics tools used for data science e.g. SQL, Python, R, AWS Sagemaker
Exposure to agent‑based or tool‑augmented LLM workflows
Working knowledge of Snowflake for querying and using curated data
Foundational knowledge of dbt for data transformation and analytics engineering
Basic experience with Git and version-controlled workflows
Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.
About the Group
Office of the Chief Data & Analytics Officer supports and enables RMIT’s business strategy by leading and driving the data and analytics agenda for the enterprise. This involves being accountable and responsible for:
Developing and implementing RMIT’s data and analytics strategy and ensuring ongoing alignment with university
Defining requirements and standards for data and analytics technologies to be delivered by Information Technology
Coordinating and governing data management activities for analytics and reporting
Developing and coordinating advanced analytics capabilities to resolve key university challenges
To Apply
Please submit your CV and a covering letter clearly addressing your relevant experience, technical capabilities and alignment to the requirements of this position by clicking the ‘Apply’ link at the top of this page.
Position Description - Data Scientist
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RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.
In line with RMIT University’s commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes. All applicants will be required to complete a gender‑based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence. Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT’s safety obligations.
At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.
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