Data Scientist

About Us

We represent Australasia's largest privately owned aggregator group supporting over 6,000 brokers and advisers across Australia and New Zealand. Collaborating with more than 110 banks and lenders, we back independent businesses in addition to our Loan Market brand. Our brokers assisted over 400,000 clients to settle upwards of $167 billion in loans during FY26, with a combined loan book of $428 billion, showcasing the strength of ample scale coupled with dedication.

Our core values steer every action we take: compassion for customers, reliability, open curiosity, collaboration, ambition balanced with humility, and an unwavering pursuit of excellence. Our workplace achievements include recognition as Australian Financial Review BOSS Best Place to Work in Banking, Superannuation and Financial Services for 2025 and Mortgage Professional Australia's Top Mortgage Employers for 2026.

Role Overview

Joining our Data & Analytics team as a Data Scientist, you will craft data-driven AI and machine learning solutions that provide tangible benefits to the organisation. Partnering with business stakeholders, data engineers, software engineers, data modellers, and analysts, you will be part of cross-functional teams delivering comprehensive outcomes. You will have the chance to develop proof of concepts demonstrating the value of AI and ML technologies to enhance services for brokers and clients alike. This role is hybrid, with two workdays per week at the office, based preferably in Sydney or alternatively Melbourne.

Key Responsibilities

• Create, design, and deploy machine learning models addressing practical problems efficiently.
• Enhance AI capabilities using large language models (LLMs), retrieval-augmented generation (RAG), and agentic workflows that incorporate tools and business systems to accomplish tasks.
• Assess model performance, stability, and scalability to ensure compliance with business standards and needs.
• Collaborate with Product, Engineering, and Data Engineering teams to move experimental solutions into production and integrate them into existing products and workflows.
• Implement responsible AI, security, and privacy principles when handling business data and AI applications.
• Continuously monitor industry trends and emerging innovations in AI, machine learning, and data science to foster improvement and innovation within the team.
• Effectively communicate complex technical findings and recommendations to audiences with varying technical backgrounds.

Qualifications and Experience

• Completed Bachelor's degree in Data Science, Statistics, Computer Science, or another related quantitative discipline.
• More than two years of practical experience in data science, including developing and deploying models.
• Proficient with Python and SQL for data manipulation and building machine learning models.
• Hands-on experience developing applications with large language models, including prompt engineering, retrieval techniques, or tool integration.
• Strong problem-solving aptitude to convert business challenges into viable data science solutions.
• Good communication skills to convey insights and solutions to various stakeholders effectively.

Preferable Additional Skills

• Experience deploying or maintaining AI systems in production environments.
• Familiarity with cloud platforms, modern data ecosystems, APIs, and automation deployment pipelines.
• Knowledge of dbt or similar tools for data transformation.

Employee Benefits

• Flexible hybrid working with minimum two in-office days per week, including a team anchor day.
• Six additional ‘Me’ leave days, flexible public holiday swaps, and options for purchasing extra annual leave.
• Generous family and wellbeing support including 16 weeks paid parental leave with superannuation, paid fertility treatment leave, 12 days personal leave, and access to the Sonder wellbeing app.
• Focus on career development with dedicated paid study leave and learning and development programs tailored to career stages.
• Community engagement via the Loan Market Group Foundation, including donation matching and a paid volunteer day.

Application Notes

We welcome candidates to use AI tools to enhance their applications but emphasize that submissions should honestly reflect individual experience and qualifications. We seek to understand your genuine capabilities and background during the recruitment process.