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Day 17
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Data Scientist
Reads like a ML Engineer role: putting models into production.
Syd, NSW and Melb, VIC, Australia
Live, first seen by us 17 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
As a Data Scientist in the Data & Analytics team, you will be responsible for developing data driven, AI and ML solutions to deliver value to the organisation. You will work with business stakeholders, data engineers, data modellers, software engineers and analysts in cross functional teams to deliver end-to-end outcomes. You will also get opportunities to build proof of concepts to determine the value of AI/ML solutions to push the boundaries to create value for our brokers and their Clients. This is a hybrid role (2 days in the office per week) that can be done from Sydney, Melbourne or Brisbane Key Responsibilities:
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingAs a Data Scientist in the Data & Analytics team, you will be responsible for developing data driven, AI and ML solutions to deliver value to the organisation.
This is a hybrid role (2 days in the office per week) that can be done from Sydney, Melbourne or Brisbane
Design, develop and implement machine learning solutions for practical business problems
Build AI solutions using LLMs, retrieval-augmented generation and agentic workflows
Evaluate model performance, stability and scalability against business requirements
Take solutions from experimentation into production with Product and Engineering
Apply privacy, security and responsible AI practices to business data and AI systems
From the employer’s posting
As a Data Scientist in the Data & Analytics team, you will be responsible for developing data driven, AI and ML solutions to deliver value to the organisation. You will work with business stakeholders, data engineers, data modellers, software engineers and analysts in cross functional teams to deliver end-to-end outcomes. You will also get opportunities to build proof of concepts to determine the value of AI/ML solutions to push the boundaries to create value for our brokers and their Clients.
This is a hybrid role (2 days in the office per week) that can be done from Sydney, Melbourne or Brisbane
Design, develop, and implement machine learning solutions tailored to solve problems in a practical and timely manner.
Develop and improve AI solutions using large language models (LLMs), retrieval-augmented generation (RAG), and agentic workflows that use tools and business systems to complete tasks.
Evaluate the performance, stability, and scalability of developed models, ensuring they meet the necessary business requirements and standards.
Work with Product, Engineering and Data Engineering to take solutions from experimentation into production and integrate them into existing products and workflows.
Apply appropriate privacy, security and responsible AI practices when working with business data and AI systems.
Education & alternatives
To succeed in this role you will bring with you: - Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field. - 2+ years of hands-on experience in data science, including model development and deployment.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 18, 202617 days ago
- Recorded sightings
- 23
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Ray White is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- dbt
Where the posting names them
- 2+ years of hands-on experience in data science, including model development and deployment. - Proficiency in Python and SQL for data manipulation and machine learning model development. - Practical experience building applications with LLMs, including prompt development, retrieval or tool use.
- Working with cloud services, modern data platforms, APIs and automated deployment pipelines. - Experience with dbt or similar data transformation tools.
Your next step
Complete your application on raywhiteloanmarket.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
Has Ray White posted this job before?
Yes. We’ve followed one other Data Scientist job there since September 2026. It is still up.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
About the role:
As a Data Scientist in the Data & Analytics team, you will be responsible for developing data driven, AI and ML solutions to deliver value to the organisation. You will work with business stakeholders, data engineers, data modellers, software engineers and analysts in cross functional teams to deliver end-to-end outcomes. You will also get opportunities to build proof of concepts to determine the value of AI/ML solutions to push the boundaries to create value for our brokers and their Clients.
This is a hybrid role (2 days in the office per week) that can be done from Sydney, Melbourne or Brisbane
Key Responsibilities:
- Design, develop, and implement machine learning solutions tailored to solve problems in a practical and timely manner.
- Develop and improve AI solutions using large language models (LLMs), retrieval-augmented generation (RAG), and agentic workflows that use tools and business systems to complete tasks.
- Evaluate the performance, stability, and scalability of developed models, ensuring they meet the necessary business requirements and standards.
- Work with Product, Engineering and Data Engineering to take solutions from experimentation into production and integrate them into existing products and workflows.
- Apply appropriate privacy, security and responsible AI practices when working with business data and AI systems.
- Stay abreast of industry trends, advancements, and innovations in AI, machine learning, and data science, driving continuous improvement and innovation within the team.
- Communicate technical insights and recommendations clearly and effectively to both technical and non-technical stakeholders.
To succeed in this role you will bring with you:
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- 2+ years of hands-on experience in data science, including model development and deployment.
- Proficiency in Python and SQL for data manipulation and machine learning model development.
- Practical experience building applications with LLMs, including prompt development, retrieval or tool use.
- Problem-solving skills and the ability to translate business problems into data science solutions.
- Good communication skills with the ability to present findings and technical solutions to diverse audiences.
Desirable experience
- Deploying or supporting AI solutions in production.
- Working with cloud services, modern data platforms, APIs and automated deployment pipelines.
- Experience with dbt or similar data transformation tools.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Syd, NSW and Melb, VIC, Australia
As a Data Scientist in the Data & Analytics team, you will be responsible for developing data driven, AI and ML solutions to deliver value to the organisation. You will work with business stakeholders, data engineers, data modellers, software engineers and analysts in cross functional teams to deliver end-to-end outcomes. You will also get opportunities to build proof of concepts to determine the value of AI/ML solutions to push the boundaries to create value for our brokers and their Clients. This is a hybrid role (2 days in the office per week) that can be done from Sydney, Melbourne or Brisbane Key Responsibilities:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.