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.