Data Scientist

Posted 5 Days Ago
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Melbourne, Victoria, AUS
In-Office
Entry level
Real Estate • Financial Services • PropTech
Australia’s leading real estate brand.
The Role
Supports Ray White’s Economics function by analyzing and modeling Australian and New Zealand property-market datasets. Responsibilities include developing statistical models and forecasts, building automated data pipelines, integrating APIs, conducting quantitative market research, validating data, creating dashboards, and communicating insights to executives, corporate teams, offices, and journalists.
Summary Generated by Built In
Ray White is a household name in Australia and New Zealand, a name synonymous with the property and real estate industry, home lands, mortgages, and insurance. Established in 1902, in the small Queensland country town of Crows Nest, Ray White has evolved into Australasia’s most successful real estate business, now approaching 1,000 individual offices in Australia, New Zealand, and South East Asia. Last year, Ray White sold over $53 billion worth of property. 

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!
Click Apply Now!

Skills Required

  • Degree qualification in economics or a related quantitative field
  • Relevant industry experience in real estate or financial markets
  • Strong proficiency in SQL
  • Strong proficiency in Python
  • Experience with relational databases
  • Experience with API integrations
  • Foundation in statistical analysis and quantitative modeling
  • Experience with time-series analysis
  • Experience creating automated data pipelines and ETL processes
  • Experience with data quality and validation systems
  • Ability to develop interactive dashboards and automated reporting tools
  • Ability to document technical methodologies and communicate complex analytical findings to non-technical stakeholders
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The Company
HQ: Brisbane
9,707 Employees
Year Founded: 1902

What We Do

Ray White is a market-leading real estate agency group and property investment business, operating throughout Australia, New Zealand, Indonesia and Hong Kong. We are a fourth-generation family-owned and led business, founded in 1902 in Crows Nest, Queensland. Our original office - the Shed - in Crows Nest still stands today. There are over 12,000 members of the Ray White family. Our members span all areas of real estate agency activities, including residential, commercial and rural property sales and management. Our specialist businesses focus on specific market sectors such as valuations, marine, and insurance. We are a partner in HTL Property, delivering specialised integrated services for the hotel industry and its investors throughout Australia. RW Capital invests on behalf of the White Family, and institutional and private investors, into private credit, real estate private equity and private equity. We seek to provide all of our members with a family experience that supports leadership, embraces curiosity, and is a springboard for them to reach heights that they might not have thought achievable. We recorded our strongest year of growth and transaction activity in the financial year ending 30 June 2024. Our market share of residential property sales in Australia and New Zealand is at a record high of 14.4%, more than twice the second-largest group.

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