Who are we?

We are Australasia’s largest privately owned aggregator group, backing more than 6,000 brokers and advisers across Australia and New Zealand. Partnering with over 110 banks and lenders, we support independent businesses alongside our own Loan Market brand. In FY26, our brokers helped over 400,000 people settle over $167 billion in loans and reached a collective loan book of $428 billion, proof of what happens when scale meets real drive.

We live our values in everything we do. Compassion for our customers, doing what we say, being curious and thinking openly, going further together. We’re ambitious, but we keep our feet on the ground, always hungry, always humble, and focused on being the absolute best at what we do.

We were proud to be named Australian Financial Review BOSS Best Place to Work - Banking, Superannuation and Financial Services & in 2025 and one of Mortgage Professional Australia's Top Mortgage Employers for 2026!

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). We are looking for candidates in either Sydney (preferable) or Melbourne.

Duties and 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.

Skill and experience required:

- 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.

Benefits:

- Flexibility & Balance: Hybrid work (min. 2 office days per week, including a team anchor day), 6 additional ‘Me’ leave days, versatile public holiday swaps, and options to purchase additional annual leave.
- Family & Wellbeing: 16 weeks paid parental leave (plus superannuation support), paid fertility treatment leave, 12 days personal leave, and access to the Sonder wellbeing app.
- Growth & Development: Dedicated paid study leave and L&D; programs for each stage of your career
- Community: Participation in the Loan Market Group Foundation (with donation matching) and a paid volunteer day.

Using AI in your application: At LMG we embrace innovation, and we are comfortable with candidates using AI tools to assist in preparing their application. We encourage you to use these tools to polish your resume but please be mindful that your application should remain an honest representation of your own experience and qualifications. We are keen to get to know your true capabilities and how your specific background aligns with our team, which we will explore further in our conversations and interviews.

📌 Data Scientist (Sydney)
🏢 LMG
📍 Sydney