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.

Technical Requirements

• 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.

Working With Us

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!

About the Role

As an AI & ML Applications Developer, you will play a key role in transforming ideas into practical, scalable solutions, working with modern technologies, large datasets and emerging AI capabilities.

We have two AI-focused opportunities available:

• a temporary Microsoft AI focused role facilitating delivery and support of agents in the Microsoft AI ecosystem, and
• an ongoing broader AI Enablement-aligned role that supports the practical adoption, delivery, and uplift of AI capability across the organisation.

In these roles you will collaborate with a diverse range of stakeholders and contribute to projects that drive innovation, improve efficiency and create lasting value across the organisation.

About You

To be successful in this role, you will have:

• Practical experience designing, configuring and testing lightweight agents, custom agents, low-code solutions, and AI-enabled automation using emerging enterprise platforms, such as Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry Azure OpenAI Service, Google Gemini AI and Google Cloud Platform.
• Experience developing, delivering, and supporting software solutions across the full Software Development Lifecycle (SDLC).
• Demonstrated experience in application architecture and solution design.
• Experience working with cloud-based platforms and technologies.
• Strong analytical and problem-solving skills, with the ability to develop innovative and scalable solutions.
• Proven ability to collaborate effectively within multidisciplinary teams and provide technical guidance to stakeholders and peers.
• A passion for innovation, emerging technologies, and continuous learning.
• For more information read the full Role Description: AI & ML Developer