About the role:
The Senior Data Scientist works within the Projections and Analytics Team and supports statewide health service planning for Queensland Health, by delivering advanced analysis, demand projections, service planning analytics and modelling to inform service planning and system-level planning decisions.
Your key responsibilities include:
Extract, manage and analyse large and complex health and health service delivery datasets using advanced analytical tools (e.g. Posit/R, Python, SQL, Power BI) and communicate findings to inform decision-making.
Apply established service planning and demand modelling tools, including contributing to the maintenance and use of the Projected Healthcare Demand model and related health service projections.
Undertake service planning analytics, benchmarking and modelling to assess demand, capacity, performance and variation across the health system.
Assist with analysis of the impact of health service delivery and system-level policy and planning initiatives to inform planning activities.
Analyse data to identify population health needs, priorities and issues to support health purchasing and service agreement development.
Role fit:
As a Senior Data Scientist, you will have strong capability in data analysis, with the ability to source, interpret and critically evaluate qualitative and quantitative information to inform health service planning. You will bring advanced data manipulation and modelling skills, working confidently with platforms such as Azure, SQL Server, R/Posit, Power BI, Qlik and Tableau to identify patterns and deliver actionable insights. The position also calls for the ability to build sustainable, automated analytical processes, apply sound knowledge of Queensland Health priorities and system needs, and manage complex, time-critical projects both independently and within a team. High-level written and verbal communication skills are essential, along with the ability to cultivate productive stakeholder relationships and contribute to team capability by coaching and supporting peers.
Why work for us:
Competitive salaries
36.25 hour full time work week
Work / life balance support
Leave loading
Employee wellbeing programs
Ready to apply?
Please see attached role description for application requirements.This work is licensed under a Creative Commons Attribution 3.0 Australia License.
