Data Scientist
Syd, NSW and Melb, VIC, Australia
- Pay
- Pay not listed
- Work setting
Hybrid stated — 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.
Tools in this posting
- Python
- SQL
- dbt
Source — Tool mentions in context
- 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.
Posting record
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- Live
- First seen by us
- Oct 18, 2026 · 1 day ago
- Recorded sightings
- 2
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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
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- 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.
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