Job Description
Quantium is a world leader in data science and artificial intelligence. Established in Australia in ****, the company offers global teams across 14 locations with product and consulting services.
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Our Health vertical works with a wide range of health clients in Australia and internationally – health insurers, pharmaceutical companies, hospitals, government – helping them unlock actionable insights that improve health outcomes.
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How You'll Create Impact
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Execute high-quality analysis and deliverables across one or more health client projects simultaneously, managing your workload and prioritisation to meet deadlines.
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Design and build statistical models and machine learning solutions to address health client challenges – such as predicting patient risk, modelling health behaviours, or evaluating intervention outcomes.
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Apply AI tools daily to enhance your analytical workflows, progressing from AI assistance to more sophisticated agentic approaches over time.
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Critically evaluate AI-generated outputs – learning when to trust, refine, or override.
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Analyse large, complex health datasets to surface meaningful patterns and actionable insights.
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Create clear, visually compelling dashboards and reports that communicate findings to both technical and non-technical audiences.
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Engage directly with day-to-day client contacts – responding proactively, seeking needed information, and building trusted relationships.
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Support and mentor peers and graduate team members to help the broader team achieve its goals.
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Contribute to business development activities, including supporting proposals and organic growth with existing clients.
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Key Strengths You'll Bring
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Technical foundation – Solid Python or R with strong data science fundamentals (statistical modelling, machine learning, data preparation, validation) and a commitment to accurate, error-free work. Experience with cloud platforms (Azure, AWS, GCP) is valued.
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AI curiosity – Experience using AI tools (Claude, ChatGPT, Copilot, or similar) or genuine enthusiasm to develop fluency in AI-native methods.
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Analytical thinking – Systematic problem-solving, translating health business challenges into rigorous technical solutions and simplifying complex concepts for clients.
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Collaborative spirit – Strong communication skills for working with diverse teams and clients, managing workloads independently, and escalating when needed.
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Qualifications
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Approximately 2–5 years of experience in data science, analytics, or a related quantitative role.
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Solid experience with Python or R for data analysis and manipulation.
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Hands‐on experience building and deploying machine learning models in a professional context.
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Demonstrated ability to deliver accurate, error-free work to agreed quality standards and deadlines.
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Strong communication skills and experience presenting findings to non-technical stakeholders.
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Comfortable working across multiple projects simultaneously with solid personal organisation.
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Experience using AI tools in analytical workflows or enthusiasm to develop this capability.
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Tertiary qualification in engineering, mathematics, actuarial studies, statistics, data science, business, economics, epidemiology, biostatistics, public health, or a related discipline with strong analytical focus.
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Desired (but not essential)
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Familiarity with the health sector (health insurance, pharmaceuticals, hospital systems, or government health) and related terminology.
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Experience building or experimenting with AI-assisted analytical workflows or prompt engineering.
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Experience with data visualisation tools such as Tableau or Power BI.
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Familiarity with cloud platforms such as AWS, GCP, or Azure.
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Benefits
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Flexible work arrangements – hybrid and flexible schedules to balance work-life.
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Global mobility – opportunities to work abroad as we expand globally.
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#J-*****-Ljbffr

📌 Data Scientist | Health (Victoria)
🏢 Quantium
📍 Victoria