Senior Data Scientist

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 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. • 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. • Flexibility & Balance: Hybrid work (min. 2 office days per week, including a team anchor day), 6 additional ‘Me’ leave days, flexible 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. #J-18808-Ljbffr