Data Scientist | Health

Who is Quantium?

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world.

We're ALL in on AI — transforming ourselves into an AI-native organisation while helping our clients do the same. With 23 years of domain expertise, proprietary data partnerships, and industry-leading AI adoption (90% weekly active usage), we are at the forefront of what's possible with data. 

About the team 

Our Health vertical works with a wide range of Health clients in Australia and internationally — spanning health insurers, pharmaceutical companies, hospitals, and government — helping them unlock actionable insights that improve outcomes for patients and the broader community. 

As a Data Scientist in the Health vertical, you'll be a collaborative technical contributor working within cross-functional teams alongside senior data scientists, consultants, and client stakeholders. You'll deepen your expertise in statistical modelling, machine learning, and AI-native workflows, while engaging directly with clients across multiple health engagements simultaneously.  

How you'll create impact 

• Execute high-quality analysis and deliverables across one or more health client projects simultaneously, managing your own workload and prioritisation to meet agreed deadlines 

• 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 

• Apply AI tools daily to enhance your analytical workflows, moving from AI assistance through to more sophisticated agentic approaches over time 

• Develop the skill of critically evaluating AI-generated outputs — learning when to trust, refine, or override 

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

• Create clear, visually compelling dashboards and reports that communicate findings to both technical and non-technical audiences 

• Engage directly with day-to-day client contacts — responding proactively, seeking out information needed to progress work, and building trusted relationships 

• Support and mentor peers and graduates within your project streams to help the broader team achieve its goals 

• Contribute to business development activities, including supporting proposals and organic growth with existing clients 

The superpowers you'll be bringing to the team 

Technical foundation: Solid Python/R with a strong understanding of data science fundamentals — statistical modelling, machine learning, data preparation, and validation — and a genuine commitment to delivering accurate, error-free analytical work. Experience with cloud platforms (Azure, AWS, or GCP) is valued as we increasingly deploy solutions in cloud environments. 

AI curiosity: Experience using AI tools (Claude, ChatGPT, Copilot, or similar) in your work — or genuine enthusiasm and a clear willingness to build that fluency. You're open to working in a team where AI-native methods are the default. 

Analytical thinking: A systematic approach to problem-solving with the ability to understand health business challenges and translate them into rigorous technical solutions — and to make the complex simple for client audiences. 

Collaborative spirit: Good communication skills for working with diverse teams and clients, with the self-awareness to manage your own workload independently while knowing when to escalate or ask for support. 

Required experience and capabilities 

• Approximately 2–5 years of experience in data science, analytics, or a similar quantitative role 

• Solid experience with Python/R for data analysis and manipulation 

• Hands-on experience building and deploying machine learning models in a professional context 

• Demonstrated ability to deliver accurate, error-free work to agreed quality standards and deadlines 

• Strong communication skills with experience presenting findings to non-technical stakeholders 

• Comfortable working across multiple projects simultaneously with strong personal organisation 

• Experience using AI tools in your analytical workflows — or genuine enthusiasm and a clear willingness to develop this capability 

• Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, data science, business, economics, epidemiology, biostatistics, public health, or a related discipline with strong analytical focus. 

Highly beneficial, but not essential

• Familiarity with the health sector — including health insurance, pharmaceuticals, hospital systems, or government health — and relevant industry terminology 

• Experience building or experimenting with AI-assisted analytical workflows or prompt engineering 

• Experience with data visualisation tools such as Tableau or Power BI 

• Familiarity with cloud platforms such as AWS, GCP, or Azure 

What could your Quantium experience look like? 

Working at Quantium will allow you to challenge your imagination. You will get to solve complex health problems using rigour, precision, and by asking great questions — but it also means you can think big, outside the box, and push your problem-solving skills to the max. 

By joining the Quantium team, you'll get to: 

Forge your path: So many of our team have moved around different teams or offices. You'll be in the driver's seat, and we empower you to make your career your own. 

Find your kind: Embrace diversity and connect with your tribe — think foodies, dog lovers, readers, or runners. 

Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. 

Benefits 

On top of the Quantium experience, you will enjoy a range of great benefits that go beyond the ordinary, including: 

• Flexible work arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements 
• Global mobility: As we expand globally, there are lots of exciting opportunities to work abroad with Quantium 

Apply now and let's forge a better, more intelligent world together! 

Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.