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 care
2. We believe in technology as an enabler
3. 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.
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
- A "solutions mindset" of natural curiosity and a strong motivation to solve problems, no matter how complicated or ambiguous they might be
- Comfort with ambiguity, a fast-paced environment, and rapid business growth
- Above all else, a "can-do" attitude is the most important qualification!
What else would make a difference?
- Knowledge and experience in two-sided marketplaces
- Knowledge and experience of the care industry including both aged care and disability care
- Experience and/or knowledge in probabilistic machine learning models, enhancing prediction accuracy and uncertainty estimation.
- Experience and/or knowledge in deep learning models, leveraging neural networks to conquer complex prediction tasks and high-dimensional data.
- Proficiency in working with unstructured data, particularly text.
- Proficiency with data/analytics platforms such as Databricks and AWS.
- Previous experience in A/B test design and feature effectiveness analysis.
We’re powered by purpose
We’re Switched On 💡
We know our customers because we listen and want to learn. We engage within the community and the sector and always act on insights.
We’re Bold 📣
We’re ambitious and embrace creativity to solve challenges. We’re here to reshape the industry and back big ideas.
We’re One 🤝
We channel our passion into a positive environment. We welcome diversity and collaborate to make the most of our different skills and ways of thinking.
We’re Impactful 🌟
We work hard to deliver change. We innovate and move fast to make a difference in the sector and people’s lives.
Our benefits
Power your career ⚡️
Learn from industry experts, experienced leaders, and on-the-job opportunities.
Access parental leave 👶
Get 14 weeks of paid leave for primary carers and 6 weeks of paid leave for secondary carers plus superannuation.
Work with flexibility 🏠
We’re a hybrid workplace, balancing time in the office with remote work.
Flexi Leave Days 🌴
Get one extra paid leave day per quarter for what makes you happy.
Take a floating public holiday 🫶🏾
Acknowledge a significant day your way with family and friends.
Be rewarded 🏆
Celebrate wins and recognise great performance with an easy and accessible Reward and Recognition program.
We are one
As an organisation, we celebrate our diversity and welcome all people, regardless of their family responsibilities, ethnicity, faith, sexual orientation, or gender identity. Aboriginal and Torres Strait Islander people are encouraged to apply.
If this role has stood out to you but you don’t feel like you ‘tick all the boxes,’ we strongly encourage you to apply nonetheless. We value diversity in experience, and you might just bring something we are looking for to our organisation!
