February 17, 2026 
Sydney 
Full-time Skills/Experience:
- Advanced Model Development: Design, build and enhance machine learning and statistical models to address complex business problems and drive strategic decision-making.
- Data Analysis & Insight Generation: Conduct in-depth analysis across diverse datasets to uncover trends, patterns, and opportunities, delivering actionable insights to stakeholders.
- Business Problem Solving: Engage with stakeholders to understand challenges and translate them into structured analytical questions, shaping solutions that align with business priorities and customer needs.
- Collaboration & Capability Uplift: Collaborate with data scientists, analysts, data engineers and business teams, sharing best practices and contributing to a culture of continuous learning and improvement within the CoE.
- Documentation & Communication: Produce clear documentation of methodologies, models, and analytical outputs, and communicate findings in a compelling and accessible way to both technical and non-technical audiences
- Machine Learning & Statistical Modelling: 5-8 years hands-on experience designing, developing, deploying and iterating on machine learning models and advanced statistical techniques.
- Programming & Data Manipulation: Strong proficiency in Python, SQL, and dbt with deep experience using data manipulation and modelling libraries, as well as visualisation tools.
- Cloud Computing Proficiency: Experience using cloud environments such as AWS, Azure or GCP, and familiarity with cloud-native data science tooling and workflows. Prior working experience with Databricks is required.
- Domain Expertise & Problem Solving: Strong ability to apply data science within business context, with demonstrated domain understanding, creative analytical thinking, and a track record of influencing decisions through data-driven insights.