AURIN Data Scientist

Role type: Full-time; Fixed Term for 12 months
Faculty: Architecture, Building and Planning
Department: AURIN
Salary: UoM 7 - $111,275 - $120,453 p.a. plus 17% super 

• Applied urban data science role / shape national research infrastructure for cities and regions / collaborative, expert engineering team.

• Be part of AURIN’s Engineering team and apply your data science skills at national scale.
• Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. 

The University of Melbourne 
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.

Your next career opportunity 
You will apply your data science expertise to power better decisions about Australia’s cities and regions. You will work within AURIN’s collaborative Engineering Function, turning complex geospatial datasets into trusted, reusable analytical assets. You will gain experience in national research infrastructure, cross-functional squads, and cutting-edge urban data tools.

What you will deliver: 

• Conduct data exploration, processing, validation and analysis across priority initiatives supported by the Content Squad.
• Develop and maintain scripts, tools and notebooks for data processing, spatial analysis, modelling and visualisation.
• Contribute to reproducible, modular, versioned analytical workflows aligned with AURIN’s engineering practices and technical standards.
• Collaborate within cross-functional squads and with internal and external stakeholders to deliver data-driven initiatives and outputs.
• Produce clear documentation, handover materials and knowledge artefacts to enable onboarding, reuse and scalable delivery.

You may be a great fit if you: 

• Bring experience supporting research initiatives in academic, government or industry settings using complex data.
• Demonstrate proficiency with statistical and geospatial data for processing, analysis, modelling, validation and visualisation.
• Develop scripts or tools in Python, R or SQL for data processing and spatial analysis.
• Operate productively in cross-functional, ambiguous delivery environments, contributing with minimal supervision or onboarding.
• Apply knowledge of GIS tools, FAIR data principles or open-source data management platforms where relevant.
• Utilise familiarity with version control, CI/CD practices and cloud or containerised analytical environments.

For further information please refer to the attached PD. 

What we offer you! 
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including: 

• Build future financial security with 17% superannuation
• Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being 
• Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning

• Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave

• Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company 

• Health and well-being services including a leading Employee Assistance Program 

For more information check out our benefits page! 

Your new team
You will join AURIN’s Engineering Function within the Faculty of Architecture, Building and Planning. The team connects researchers, government and industry with trusted urban and regional data and analytical tools. You will collaborate with specialists in software, data science and data engineering in squad-based delivery models. Together, you will support impactful research and policy decisions that shape sustainable, liveable cities and regions.

Be Yourself 
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb.

We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process.

Aboriginal and Torres Strait Islander Applicants 
We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff.
  
Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at [email protected].

Application essentials:

• Visit "apply with us" to learn more about the process, including tips and FAQs.
• You must have current valid work rights for Australia. Visa sponsorship is not available for this role.
• A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.
• Please upload your resume and a cover letter outlining your interest and experience as part of the application process.
• Please upload your responses to the Selection Criteria, found in the Position Description.

Want to know more?

• For questions related to our recruitment process email Brett Verity at [email protected]
• For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at [email protected] (subject: 'Recruitment Adjustments').

Apply today, and join a community that’s shaping the future.

Position Description

JR-015763 AURIN Data Scientist PD.docx

JR-015763 AURIN Data Scientist PD.pdf