About Us

We create thriving places and connected communities. We plan, build and maintain Victoria's transport, planning and land services. We are committed to a safe, inclusive and high-performing workplace. We welcome applicants from diverse backgrounds and are committed to creating a safe, inclusive workplace where our people can thrive and do meaningful work.

About the Role

Job Location: 2 Lonsdale street, Melbourne

The Senior Data Scientist uses data analysis, statistics and machine learning to help solve complex business problems and support better decision-making across the Department. They work with large datasets to identify transport trends, develop predictive models and provide clear insights and recommendations to stakeholders and team members. The role works closely with technical leads and other staff to deliver reliable data solutions and improve analytical practices. Success in this role helps the Department make informed decisions, improve planning and deliver better outcomes for transport services and the community.

What we're looking for (Selection Criteria)

You're someone who:

• Enjoys working with data to solve problems, identify trends and support better business decisions.
• Can clearly explain complex information and insights to different audiences in a simple and practical way.
• Has experience using data analysis, modelling, machine learning and reporting tools to deliver reliable solutions and insights.
• Works well with others, builds strong relationships and supports team success through collaboration and knowledge sharing.
• Is adaptable, manages competing priorities well and can independently deliver projects within agreed timeframes.

Qualifications and experience

You'll bring:

• Tertiary qualification in a relevant or related discipline (Mandatory*).
• Strong quantitative and analytical skills, with the ability to apply statistical and data science techniques, including predictive modelling, to solve real-world problems and support data-driven decision-making. (Mandatory*)
• Demonstrated experience working with large and complex datasets and data products, with strong technical capability in programming languages and analytical tools such as SQL, Python, R and GIS. (Mandatory*)
• Experience working with distributed data processing frameworks and cloud-based analytics platforms (e.g. PySpark, Databricks), and familiarity with model lifecycle and experiment tracking tools (e.g. MLflow) is desirable. (Desirable*)

Pre-employment checks and employment conditions

Relevant pre-employment screening and reference checks will be required. Applicants must be an Australian Citizen, Permanent Resident or hold a valid work permit or visa necessary for the nature of the position. Recipients of Victorian Public Service (VPS) voluntary departure packages should note that re-employment restrictions apply.

How to apply

Click the 'Apply' button to be redirected to our recruitment platform, where you may need to create an account to submit your application.

Applications close at 11.59pm on Thursday 11th of June 2026.

Please include both your resume and a cover letter addressing how your experience addresses each of the key selection criteria for the role. All applications must be submitted via the online portal, we're unable to accept email or manual submissions.

For further information about the role, please contact Yang Chen – Director, Advanced Analytics Program via y***@*******************

Redeployees

If you are a VPS redeployee, please state this in your cover letter and include your case manager's contact details. This helps ensure your redeployment status is appropriately considered.

Important Information

If you require any adjustments to fully participate in the recruitment process or need the advert or attachments in an accessible format (e.g., large print), please contact us. We're here to support you.