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Job Title


Senior Data Scientist


Company : Mable


Location : Brisbane, Queensland


Created : 2026-03-23


Job Type : Full Time


Job Description

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 outcomesThis position is part of the Mable team.About MableMable 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 the roleAs 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 customerfacing tools and processes.This role requires a blend of technical prowess, strategic thinking, and collaboration across crossfunctional teams. You will be at the heart of a fastpaced, high growth environment where you will help drive realworld impact.What will I be doing?Lead the research and development of stateoftheart data science solutions to address emerging business needs and market expansion opportunities.Developing cuttingedge AI technologies, with the intent to scale and ''productise'' across the organisationConduct exploratory analysis to identify trends, insights, and verify hypotheses to identify not only what is happening, but why it is happening and what it meansAnalyse A/B tests to evaluate the effectiveness of new features and processesCommunicate complex technical concepts and insights to nontechnical stakeholders effectivelyPartner with product managers, software engineers, data/ML engineers and UX designers to operationalise and enhance productiongrade data science servicesCreate and maintain dashboards to present insights and performance metricsEnsure all data analysis adheres to privacy and security policiesWhat are we looking for?4+ years of industry experience in providing data science solutionsStrong understanding of statistical modelling and machine learning techniquesWorked on projects leveraging traditional AI, Generative AI, and Agentic AIFamiliarity with various aspects of Generative AI, including context engineering, RetrievalAugmented Generation (RAG), agent orchestration and evaluationExperience with modern Agentic AI Frameworks such as LangChain and LangGraphDesign and implement AI safety guardrails to ensure trustworthy, compliant model behaviour in productionExperience with version control and CI/CD pipelines such as GitHub.Proficiency in ML model development and analytics tools such as PythonFamiliarity with data visualisation and data storytellingInitiative and ownership to deliver work with autonomyCollaboration skills to partner effectively with multiple stakeholdersA "solutions mindset" of natural curiosity and a strong motivation to solve problems, no matter how complicated or ambiguous they might beComfort with ambiguity, a fastpaced environment, and rapid business growthAbove all else, a "cando" attitude is the most important qualification!What else would make a difference?Knowledge and experience in twosided marketplacesKnowledge and experience of the care industry including both aged care and disability careExperience 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 highdimensional 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 purposeWe''re powered by purpose.We''re Switch OnWe 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 BoldWe''re bold. We''re ambitious and embrace creativity to solve challenges. We''re here to reshape the industry and back big ideas.We''re OneWe 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 ImpactfulWe work hard to deliver change. We innovate and move fast to make a difference in the sector and people''s lives.Our benefitsPower your career Learn from industry experts, experienced leaders, and onthejob opportunities.Access parental leaveGet 14 weeks of paid leave for primary carers and 6 weeks of paid leave for secondary carers plus superannuation.Work with flexibilityWe''re a hybrid workplace, balancing time in the office with remote work.Flexi Leave DaysGet one extra paid leave day per quarter for what makes you happy.Take a floating public holidayAcknowledge a significant day your way with family and friends.Be rewardedCelebrate wins and recognise great performance with an easy and accessible Reward and Recognition program.We are oneAs 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! #J-18808-Ljbffr