Data Scientist

Bayside Health

Bayside Health is a public health service delivering high-quality care across every stage of life for close to 1.2 million people living in metropolitan Melbourne, the Mornington Peninsula, Koo Wee Rup, Bass Coast and Southern Gippsland. We have more than 15 main sites, including hospitals, centres and clinics that provide comprehensive care from welcoming newborns to supporting older people and a full range of services in between. More than 22,000 dedicated staff are focused on providing exceptional, equitable, and locally connected care through shared expertise, compassion, and a commitment to continuous growth. Education and training are central to staff development as we encourage all employees to strive and thrive. Bayside Health was formed following the merger of Alfred Health, Bass Coast Health, Gippsland Southern Health Service, Kooweerup Regional Health Service and Peninsula Health on 1 January 2026.

• Permanent, Full-Time position
• Health and Allied Services, Managers and Administrative Workers Grade 5 (HS5)
• Based at 541 St Kilda Road
• Great staff benefits! 5 weeks annual leave and salary packaging 

Position Summary 

The Data Scientist plays a key role in developing and applying advanced analytics to improve patient care, operational efficiency, and research outcomes at Bayside Health. The role focuses on designing, implementing, and maintaining machine learning models and analytical solutions, in close collaboration with clinicians, researchers, and business partners. This position is suited to a motivated and curious problem-solver who can work with complex healthcare data, contribute to innovative projects, and continually develop their technical expertise.

Key Duties And Responsibilities

• Develop and maintain predictive models and machine learning algorithms to address clinical, operational, and research challenges
• Analyse large and complex data sets to identify patterns, trends, and actionable insights
• Work with cross-functional teams to translate business and clinical needs into analytical solutions
• Support the development of data-driven applications and tools to support decision making across the organisation
• Document analytical solutions and contribute to reproducible, well-governed workflows
• Stay up-to-date with the latest advancements in data science and machine learning, and apply them to improve existing models and algorithms
• Partner with researchers to assess feasibility of new research ideas, identify data requirements and contribute to grant applications
• Serve as a subject matter expert on data science, communicating concepts to broad technical and non-technical audiences
• Respond to ad hoc data and reporting requests, and other duties as required

Key Capabilities

• Strong technical skills in data analysis and machine learning, with experience applying algorithms to real-world problems
• Expertise in machine learning techniques including deep learning, supervised and unsupervised learning, and natural language processing
• A solid understanding of how to choose and apply appropriate machine learning models for specific use cases
• Working knowledge of statistical analysis, including regression analysis, hypothesis testing, and statistical modelling
• Exceptional communication and stakeholder management skills, with the ability to liaise at all levels of the organisation
• Possess a creative mindset with the ability to come up with new and innovative approaches to solving complex problems; able to think outside the box and use data in new ways to derive insights and inform business decisions
• Excellent problem-solving and analytical skills, with the ability to work in a fast-paced, dynamic environment

Qualifications/Experience Required

Essential

• Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Minimum 2 years of experience in data analysis, with healthcare experience highly desirable
• Hands-on experience implementing machine learning algorithms
• Strong Python and SQL programming skills
• Experience working with relational databases and data visualisation tools (e.g., Streamlit, Power BI)

Desirable

• Postgraduate qualification in relevant field
• Experience with transformers, large language models and agentic systems
• Experience with prompt engineering and fine-tuning techniques
• Experience with MLOps frameworks
• Experience with cloud platforms and big data technologies (Azure/Databricks preferred)

Staff Benefits

• Salary packaging & novated leasing through Maxxia 
• Onsite car & bike parking opportunities, deducted pre-tax!! *subject to availability  
• Access for you and your family to an extensive network of health and fitness facilities through Fitness Passport membership 
• Enjoy excellent onsite fitness facilities at The Alfred via ProSport (pre-tax memberships)  
• Childcare services at The Alfred managed by KU Children’s Services 

If applicable, please specify specific requirements that you require in your cover letter or CV. 

For enquiries regarding this position, please contact Bahar Salehi (Lead Data Scientist) via B.Salehi@alfred.org.au

Applications close 11:00pm AEDT Friday, 6 November 2026.  

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.