Jobs at Ray White

Develop and deploy data science, AI, and machine learning solutions, including LLM, RAG, and agentic workflow applications. Evaluate model performance, scalability, and stability; transition prototypes into production with Product, Engineering, and Data Engineering teams. Apply privacy, security, and responsible AI practices, monitor industry trends, and communicate technical recommendations to varied stakeholders.

Senior Data Scientist responsible for designing, deploying, and evaluating AI, machine learning, LLM, RAG, and agentic solutions. The role translates business problems into scalable data products, establishes responsible AI and testing practices, collaborates with engineering and product teams, communicates technical decisions, and mentors junior data scientists. Candidates need strong Python, SQL, statistics, machine learning, cloud, productionization, and stakeholder communication skills.

Supports commission payment processing, lender deposit reconciliation, journal allocation, and broker or referral partner inquiries. The role manages shared inboxes, investigates historical payments, processes adjustments, liaises with lenders, and provides first-line support to commissions officers. It also assists with cross-training, operational continuity, system changes, and process improvements while developing leadership capability during a 12-month secondment.

Lead end-to-end marketing onboarding for brokers and businesses, configure marketing platforms, and coach users on digital marketing best practices. Support local-area marketing programs, create quarterly reports, manage CRM migrations, and improve setup efficiency. The role requires digital marketing experience, CRM knowledge, AI workflow development, strong stakeholder communication, and the ability to manage multiple priorities in a fast-paced environment.

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.

Six-month maternity-cover Analytics Engineer contract responsible for building scalable data models, pipelines, and enterprise data views. The role focuses on data quality, validation, governance, warehousing, ETL, and stakeholder collaboration to support analytics, business intelligence, and self-service reporting. GCP, SQL, and dbt are essential, with ThoughtSpot advantageous. The hybrid role is based in Brisbane, Melbourne, or Sydney, with two office days per week.

Supports implementation of commercial finance strategy by enabling, coaching, and training brokers; promoting referral programs and technology solutions; recruiting commercial finance businesses; engaging lender partners; and advising brokers on commercial lending scenarios. The role builds stakeholder relationships, supports business diversification, facilitates professional development, and drives commercial finance capability growth across the broker network.

Lead a hands-on data engineering team while building and operating cloud data platforms, ingestion and orchestration systems, deployment paths, and machine learning and generative AI infrastructure. Set technical standards, ensure reliability and governance, manage technical debt and operational costs, develop engineers, conduct performance reviews, lead hiring, and oversee onboarding. The role spends approximately 80% of its time on engineering and 20% on people leadership.

Develop and maintain server-side logic using PHP and Craft CMS, support frontend integration, manage databases, and ensure application performance.

Lead requirements elicitation, process mapping, data migration, integration definition, vendor collaboration, UAT execution, and business readiness for a commission system replacement. Translate business needs into functional specs, validate vendor configurations, support testing and defect triage, and assist project reporting and training.

Grow Ray White Rural by recruiting and onboarding salespeople and businesses, building and managing industry relationships, training network members on systems and business practices, coaching principals on growth strategies, and conducting auctions. Provide systems training and relationship management to support network performance and regional expansion.

Train and upskill Ray White network on the One System applications via in-person office visits and webinars, develop quarterly territory plans, create training materials, report outcomes, and drive technology adoption aligned to sales processes.

Ray White Group is seeking passionate individuals to express their interest in various corporate roles. Candidates are encouraged to submit their resume and covering letter outlining their career interests to be considered for future opportunities.