About the role:
As a Senior Data Scientist, you'll be a key contributor in our Data & Analytics team, leading the development and implementation of cutting-edge AI and ML solutions. You'll work closely with business stakeholders, data engineers, data modellers, software engineers and analysts to deliver impactful, data-driven outcomes. This is a high-impact role where you'll have the opportunity to shape the future of LMG and make a real difference in the lives of our customers.
This is a hybrid role (2 days in the office per week). We are looking for candidates in either Sydney (preferable) or Melbourne.
Duties and Responsibilities:
- Design, develop, and implement AI and machine learning solutions to address complex business challenges.
- Translate business problems into clear technical approaches, success measures and delivery plans.
- Select appropriate approaches across generative AI, machine learning and statistical methods, balancing quality, complexity, cost and maintainability.
- Establish evaluation frameworks, representative test datasets and automated checks to assess quality, reliability and business impact before and after release.
- Work with Product, Engineering and Data Engineering to deliver scalable, maintainable AI solutions and integrate them into business products and workflows.
- Guide the design of agentic workflows, including tool integration, access controls, failure handling and appropriate human review.
- Establish and promote good practices for experimentation, testing, code review, documentation and responsible AI.
- Communicate technical choices, trade-offs, limitations and recommendations clearly to stakeholders.
- Mentor and guide junior data scientists to foster their growth and development.
- Stay at the forefront of industry trends in AI, machine learning, and data science, driving innovation and continuous improvement within the team.
- Communicate technical insights and recommendations effectively to both technical and non-technical stakeholders.
Skill and experience required:
- A degree in Statistics, Computer Science, Data Science or a related quantitative field (Masters or PhD in Data Science will be an advantage)
- 5+ years of hands-on experience in data science, including model development, deployment, and productionization.
- Strong proficiency in Python and SQL for data manipulation, analysis, and machine learning model development.
- Demonstrated experience delivering LLM applications, with practical knowledge of RAG, tool use and AI evaluation.
- Strong foundations in statistics, machine learning and experimental design.
- Experience deploying and operating solutions on cloud platforms and working with modern data infrastructure.
- Proven ability to translate business problems into data science solutions and deliver impactful results.
- Excellent communication and presentation skills with the ability to explain complex technical concepts to diverse audiences.
- Experience mentoring others and improving technical practices within a team.
Desirable experience
- Experience delivering agentic AI workflows into production.
- Experience with dbt or similar data transformation tools.
- Experience applying AI in financial services or other environments involving sensitive data.
About the role:
As a Senior Data Scientist, you'll be a key contributor in our Data & Analytics team, leading the development and implementation of cutting-edge AI and ML solutions. You'll work closely with business stakeholders, data engineers, data modellers, software engineers and analysts to deliver impactful, data-driven outcomes. This is a high-impact role where you'll have the opportunity to shape the future of LMG and make a real difference in the lives of our customers.
This is a hybrid role (2 days in the office per week). We are looking for candidates in either Sydney (preferable) or Melbourne.
Duties and Responsibilities:
- Design, develop, and implement AI and machine learning solutions to address complex business challenges.
- Translate business problems into clear technical approaches, success measures and delivery plans.
- Select appropriate approaches across generative AI, machine learning and statistical methods, balancing quality, complexity, cost and maintainability.
- Establish evaluation frameworks, representative test datasets and automated checks to assess quality, reliability and business impact before and after release.
- Work with Product, Engineering and Data Engineering to deliver scalable, maintainable AI solutions and integrate them into business products and workflows.
- Guide the design of agentic workflows, including tool integration, access controls, failure handling and appropriate human review.
- Establish and promote good practices for experimentation, testing, code review, documentation and responsible AI.
- Communicate technical choices, trade-offs, limitations and recommendations clearly to stakeholders.
- Mentor and guide junior data scientists to foster their growth and development.
- Stay at the forefront of industry trends in AI, machine learning, and data science, driving innovation and continuous improvement within the team.
- Communicate technical insights and recommendations effectively to both technical and non-technical stakeholders.
Skill and experience required:
- A degree in Statistics, Computer Science, Data Science or a related quantitative field (Masters or PhD in Data Science will be an advantage)
- 5+ years of hands-on experience in data science, including model development, deployment, and productionization.
- Strong proficiency in Python and SQL for data manipulation, analysis, and machine learning model development.
- Demonstrated experience delivering LLM applications, with practical knowledge of RAG, tool use and AI evaluation.
- Strong foundations in statistics, machine learning and experimental design.
- Experience deploying and operating solutions on cloud platforms and working with modern data infrastructure.
- Proven ability to translate business problems into data science solutions and deliver impactful results.
- Excellent communication and presentation skills with the ability to explain complex technical concepts to diverse audiences.
- Experience mentoring others and improving technical practices within a team.
Desirable experience
- Experience delivering agentic AI workflows into production.
- Experience with dbt or similar data transformation tools.
- Experience applying AI in financial services or other environments involving sensitive data.
Skills Required
- Degree in Statistics, Computer Science, Data Science, or a related quantitative field
- 5+ years of hands-on data science experience, including model development, deployment, and productionization
- Strong proficiency in Python and SQL
- Experience delivering LLM applications, including RAG, tool use, and AI evaluation
- Strong foundations in statistics, machine learning, and experimental design
- Experience deploying and operating solutions on cloud platforms and modern data infrastructure
- Ability to translate business problems into data science solutions and deliver impactful results
- Excellent communication and presentation skills for technical and non-technical audiences
- Experience mentoring others and improving technical practices within a team
- Masters or PhD in Data Science
- Experience delivering agentic AI workflows into production
- Experience with dbt or similar data transformation tools
- Experience applying AI in financial services or sensitive-data environments
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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