Data Scientist

Alfred Health

Alfred Health is a leader in health care delivery, improvement, research and education. We are the main provider of health services to people living in the inner southeast suburbs of Melbourne, from ambulatory to inpatient and home and community-based services. On 1 January 2026, Alfred Health will come together with Kooweerup Regional Health Service, Peninsula Health, Bass Coast Health and Gippsland Southern Health Service to create Bayside Health, a newly merged health service with more than 22,000 employees caring for a community of over 1.2 million Victorians. The new health service will provide people with the best possible care with services that support them throughout their lives. The merger will also strengthen our workforce, providing new training, education and career opportunities. Subject to final approval on 1 January 2026, all employees from the five health services will transfer to Bayside Health.

• Fixed term position until Nov 2026
• Full time at 80 hours per fortnight
• The Alfred location
• Great staff benefits

The Department

Alfred Health’s Data Analytics Service (DAS) provides data-driven insights that improve patient care, operations, and research. We’re seeking a Data Scientist who’s passionate about applying advanced analytics and machine learning to solve real-world healthcare challenges.

Position Summary

You’ll work in a collaborative environment alongside clinicians, researchers, and technical staff to develop predictive models, build analytical tools, and translate complex data into actionable insights that make a difference across the organisation.

What you’ll do

• Design and implement predictive models and ML algorithms for clinical, operational, and research use cases
• Analyse large, complex data sets to identify patterns and insights
• Collaborate with cross-functional teams to translate needs into analytical solutions
• Support the development of data-driven applications and workflows
• Partner with researchers on grant applications and translation of research into practice

What we’re looking for

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or similar field
• 2+ years’ experience in data analysis or applied ML (healthcare experience a plus)
• Strong Python and SQL programming skills
• Familiarity with ML techniques, statistical modelling, and NLP
• Experience with visualisation tools (e.g., Streamlit, Power BI)
• Exposure to LLMs, MLOps, or Azure/Databricks (desirable)

Staff Benefits

• Generous salary packaging and novated leasing are available through Maxxia
• Onsite child care services, payroll deductible expense
• Onsite staff gym, a payroll deductible expense
• Modern onsite library faculties, exclusive to Alfred Health staff
• Access to health and wellbeing incentives
• Discounted health insurance 

Join us in shaping the future of data-driven healthcare.

For enquiries regarding this role, please contact Theo Christian, Analytics Partnering Manager 0437 948 528 

Applications close at 11.00 pm Friday 24th of October 2025

We embrace diversity and strive to have a workforce that reflects the communities we serve. We actively encourage applications from Aboriginal and Torres Strait Islander people, people with disability, and people of all genders, sexualities, and cultural backgrounds.

If you require adjustments to the recruitment and selection process, or require an alternative format to any of the application materials, please don’t hesitate to get in touch with the contact person listed on this ad.

In accordance with the Health Services Amendment (Mandatory Vaccination of Healthcare Workers) Act 2020, health care workers in Category A or B roles (as determined by the department’s risk ratings) are required to be vaccinated against influenza or hold an acceptable medical exemption. 

Website: www.alfredhealth.org.au