3 weeks ago

Data Scientist | Health

Quantium

Melbourne

3 weeks ago

Apply

Quantium, a global leader in data science and AI, is seeking a Data Scientist for its Health vertical in Melbourne. The role involves building statistical models and machine learning solutions for health clients, using AI tools daily, and collaborating with cross-functional teams. Candidates should have 2-5 years of experience, strong Python/R skills, and a passion for AI.

AI-enabledHybridFull-timeMid LevelPythonR

Data Scientist | Health

Apply

AI-enabledHybridFull-timeMid LevelPython

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid

Experience Required

5 years

Employment Type

Full-time

Experience Level

Approximately 2–5 years of experience

Core Qualifications

Technical (Must-have)

PythonRMachine LearningStatistical ModellingData PreparationValidationAzureAWSGCPAI ToolsClaudeChatGPTCopilotData VisualisationTableauPower BI

Soft Skills

CommunicationCollaborationAnalytical ThinkingProblem SolvingSelf-ManagementMentoring

Preferred Qualifications

Technical (Nice-to-have)

Health Sector KnowledgePrompt EngineeringTableauPower BIAWSGCPAzure

Key Responsibilities

•Execute high-quality analysis and deliverables across one or more health client projects simultaneously
•Design and build statistical models and machine learning solutions to address health client challenges
•Apply AI tools daily to enhance analytical workflows
•Develop the skill of critically evaluating AI-generated outputs
•Analyse large, complex health datasets to surface meaningful patterns and actionable insights
•Create clear, visually compelling dashboards and reports
•Engage directly with day-to-day client contacts
•Support and mentor peers and graduates within project streams
•Contribute to business development activities

Data ScienceHealthMachine LearningAIPythonRHybridFull-timeMelbourneQuantium

Key Responsibilities

•Execute high-quality analysis and deliverables across one or more health client projects simultaneously

•Design and build statistical models and machine learning solutions to address health client challenges

•Apply AI tools daily to enhance analytical workflows

•Develop the skill of critically evaluating AI-generated outputs

•Analyse large, complex health datasets to surface meaningful patterns and actionable insights

•Create clear, visually compelling dashboards and reports

•Engage directly with day-to-day client contacts

•Support and mentor peers and graduates within project streams

•Contribute to business development activities