Data Scientist
At a glance
Mid-level Data Science role at Ray White. Melbourne · full-time · no salary stated · we estimate A$122,210–A$137,329 across Australia.
Ray White has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and refine models that track property prices, sales activity and market forecasts across Australia and New Zealand
- Create automated pipelines that combine internal data with external APIs and prepare usable datasets
- Research emerging property trends and provide evidence for media commentary and executive decisions
- Turn quantitative results into clear visuals and practical guidance for corporate teams, local offices and journalists
- Improve the analytical process across data collection, validation, analysis and communication
What you bring
- A degree in economics or another quantitative discipline, plus relevant experience in real estate or financial markets
- Strong SQL and Python skills, with experience using relational databases and connecting to APIs
- A grounding in statistics, quantitative modelling and time-series analysis, plus experience building automated data pipelines
- You can create dashboards and reports, check data quality, document methods and explain findings to non-technical audiences
Who this fits
This role suits a data scientist who can work across the analytical process, from data preparation and modelling to explaining results. You’ll support the Economics function and communicate with corporate teams, local offices and journalists.
From the employer
The Data Scientist supports Ray White Group's Economics function through the analysis, modelling and development of large-scale property market datasets and analytical systems. The role is responsible for developing statistical methodologies, data models, automated data pipelines and analytical products that transform complex property data into reliable market intelligence. The Data Scientist works across the full analytical lifecycle, including data acquisition, transformation, modelling, validation, analysis, visualisation and communication of results.
Key Responsibilities
- Statistical Analysis & Modelling: Develop, test, and refine statistical models for price indices, sales trends, and market forecasting across AU & NZ property markets.
- Data Engineering & Automation: Build and maintain automated data pipelines, integrating internal systems and external APIs to deliver analysis-ready datasets.
- Market Research & Insights: Conduct quantitative research on emerging real estate trends, providing evidence-based analysis for national media commentary and executive leadership.
- Stakeholder Collaboration: Translate complex quantitative findings into clear visualisations and actionable insights for non-technical corporate teams, local offices, and journalists.
- Core Tech Stack: Strong proficiency in SQL, Python, relational databases, and API integrations.
- Analytics & Modelling: Solid foundation in statistical analysis, quantitative modelling, and time-series analysis.
- Data Engineering: Experience with automated data pipeline creation, ETL processing, data quality, and validation systems.
- Data Visualisation & Reporting: Skill in developing interactive dashboards, automated reporting tools, and visualising property-market datasets.
- Communication: Proven ability to document technical methodologies and articulate complex analytical findings to non-technical stakeholders.
- Qualifications & Experience: Degree qualification in economics (or a related quantitative field) and relevant industry experience in real estate or financial markets.
Develop your career and gain valuable experience within a multifaceted business experiencing consistent growth, and in this role you have the opportunity to help improve the efficiency of our team by identifying and implementing process improvements.
We are invested in setting up our people for long-term success, engaging various professional programs, events, and initiative across the year to bring people to their full potential. We are also dedicated to fostering a culture of wellbeing by creating an inclusive and supportive work environment for all.
Ready to join a high-performing team that values curiosity, collaboration, and creating a meaningful impact? We'd love to hear from you!
Click Apply Now!
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