Overview Full‑time, continuing position.

Salary $121,213 – $136,507 plus 17% superannuation and flexible working arrangements. Based at the Melbourne CBD campus with hybrid work options.

About You

As a Senior Data Scientist in RMIT’s Data & Analytics team, you’ll lead the delivery of complex data science solutions that address high‑impact problems across the university. You’ll work end‑to‑end – shaping ambiguous problem statements, designing analytical approaches, and building advanced models and data products using statistical and machine learning techniques. Operating as a technical leader within cross‑functional teams, you’ll partner closely with stakeholders to ensure solutions are fit‑for‑purpose, trusted, and embedded into decision‑making rather than one‑off analyses.

The role requires deep hands‑on expertise in advanced analytics, machine learning and production‑level data science, alongside strong capability in SQL, Python or R, and contemporary cloud data platforms.

Key Responsibilities - Shape ambiguous problem statements and design analytical approaches.

- Build advanced models and data products using statistical and machine learning techniques.
- Lead solution design, technical standards and quality across the team.
- Coach, uplift and mentor other data scientists.
- Apply enterprise‑wide best practices, balancing technical rigour with real‑world constraints.
- Improve existing models, pipelines and methodologies within the team.
- Collaborate cross‑functionally with stakeholders to ensure solutions are fit‑for‑purpose and trusted.

Qualifications and Experience - Deep hands‑on expertise in advanced analytics, machine learning and production‑level data science.

- Strong programming skills in SQL, Python or R and experience with AWS SageMaker.
- Knowledge of a variety of machine learning and AI techniques (regression, statistical tests, text mining,



decision trees, etc.) and proven experience applying them to solve business problems.
- Experience with Snowflake for querying curated data and awareness of Snowflake Intelligence / Cortex concepts (agents, semantic views, semantic search).
- Foundational knowledge of dbt for data transformation and analytics engineering.
- Experience with Git and version‑controlled workflows.
- Demonstrated ability to coach and mentor junior staff members.
- Appointment to this position is subject to passing a Working with Children and National Police Check.

Application Deadline Applications close: 2 Aug 2026 11.59 pm.

Equal Opportunity and Inclusion Statement 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 its 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. RMIT is committed to supporting adjustments throughout the recruitment and selection process, as well as during employment, and actively supports and encourages people with disability to apply to RMIT.

📌 Senior Data Scientist (Melbourne)
🏢 Rmit University
📍 Melbourne