Senior Data Scientist

HomeMade, Mable, Leap in! and Mable Direct are entities under the Attain Healthtech Group of companies. While our companies are diverse, three similarities bind us:
1. We exist to create lasting, positive change across the entire care and support sector - impacting more lives, elevating standards and shaping the future of care2. We believe in technology as an enabler3. We’re driven by helping customers attain better outcomes
This position is part of the Mable team.
About Mable
Mable is one of Australia's leading and fastest-growing healthtech platforms. As a purpose-driven company, we are where thousands of people with disability and older Australians have connected with independent support workers of their choosing and on terms that suit them.
With more than 25 million hours of support facilitated since 2014, it's no wonder we have been recognised on the AFR's Top 100, Deloitte Tech Fast 50, were previously awarded Australian Growth & Technology Growth Company of the Year.
By working at Mable, you will join a high productivity and dynamic team environment, leading to meaningful change in Australia's care and support sectors.
To find out more, visit https://mable.com.au/
About the role
As a Senior Data Scientist at Mable, you'll leverage your expertise in data science to help us continue to improve the services we provide to our customers. You'll be responsible for researching, improving, and developing machine learning models and utilising generative AI solutions to optimise external and internal customer-facing tools and processes.
This role requires a blend of technical prowess, strategic thinking, and collaboration across cross-functional teams. You will be at the heart of a fast-paced, high growth environment where you will help drive real-world impact.What will I be doing?

• Lead the research and development of state-of-the-art data science solutions to address emerging business needs and market expansion opportunities.
• Developing cutting-edge AI technologies, with the intent to scale and ‘productise’ across the organisation
• Conduct exploratory analysis to identify trends, insights, and verify hypotheses to identify not only what is happening, but why it is happening and what it means
• Analyse A/B tests to evaluate the effectiveness of new features and processes
• Communicate complex technical concepts and insights to non-technical stakeholders effectively
• Partner with product managers, software engineers, data/ML engineers and UX designers to to operationalize and enhance production-grade data science services
• Create and maintain dashboards to present insights and performance metrics
• Ensure all data analysis adheres to privacy and security policies

What are we looking for?

• 4+ years of industry experience in providing data science solutions
• Strong understanding of statistical modelling and machine learning techniques
• Worked on projects leveraging traditional AI, Generative AI, and Agentic AI
• Familiarity with various aspects of Generative AI, including context engineering, Retrieval-Augmented Generation (RAG), agent orchestration and evaluation
• Experience with modern Agentic AI Frameworks such as LangChain and LangGraph
• Design and implement AI safety guardrails to ensure trustworthy, compliant model behaviour in production
• Experience with version control and CI/CD pipelines such as GitHub.
• Proficiency in ML model development and analytics tools such as Python
• Familiarity with data visualisation and data storytelling
• Initiative and ownership to deliver work with autonomy
• Collaboration skills to partner effectively with multiple stakeholders
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