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About the Role
Lendi Group is building data and AI capabilities to assist customers with home lending and property services. As a Senior Data Scientist, you will transform complex customer and business challenges into practical, production-ready machine-learning solutions. You will focus on propensity modeling, personalization, growth, retention, and other applied data-science use cases using techniques like classification, regression, experimentation, and predictive analytics. This hands-on role involves the entire lifecycle from problem framing and data analysis to model development, deployment, monitoring, and improvement. You will collaborate with data engineers, product managers, analysts, software engineers, and business stakeholders to achieve measurable outcomes. Generative and agentic AI will be part of the team's toolkit when appropriate, with a core emphasis on strong applied machine learning and sound data-science judgment.
Responsibilities
- Translate customer and business problems into clear analytical and machine-learning objectives.
- Work with large datasets, event data, and feature stores to identify useful signals and build predictive features.
- Develop, evaluate, and improve models for use cases such as propensity, personalization, growth, and retention.
- Apply appropriate techniques across classification, regression, experimentation, forecasting, and other applied data-science problems.
- Take models through the full product lifecycle, including deployment, automation, monitoring, retraining, and ongoing maintenance.
- Help improve data quality, feature pipelines, model monitoring, drift detection, and ML Ops practices.
- Work with product managers and business stakeholders to define success measures and translate model outputs into action.
- Explain technical approaches, assumptions, and results clearly to technical and non-technical audiences.
- Collaborate with data, software, and AI engineering teams to review solutions, improve coding standards, and share knowledge.
- Contribute to technical documentation, design discussions, and delivery planning.
- Work with external partners or vendors where required to deliver the right solution.
Requirements
- Commercial experience as a Data Scientist, Applied Scientist, Machine Learning Engineer, or in a closely related role.
- Strong Python skills and experience writing maintainable, tested, and production-quality code.
- Strong foundations in probability, statistics, model evaluation, and machine-learning fundamentals.
- Practical experience with classification, regression, feature engineering, and experimentation.
- Experience developing, deploying, and maintaining machine-learning models in a cloud environment such as Databricks, AWS SageMaker, Azure ML, or an equivalent platform.
- An understanding of data pipelines, feature stores, data quality, model monitoring, drift, and retraining.
- Experience working across the full model lifecycle, from problem definition through to production and ongoing improvement.
- The ability to work effectively with product managers, engineers, analysts, and senior business stakeholders.
- A collaborative approach to code reviews, documentation, knowledge sharing, and continuous improvement.
- Good judgment about when to use a simple, explainable approach and when a more advanced technique is justified.
Skills
- Python
- Classification
- Regression
- Experimentation
- Predictive analytics
- Machine learning
- Data science
- Generative AI
- Agentic AI
- Propensity modelling
- Personalisation
- Growth
- Retention
- Data pipelines
- Feature stores
- Model monitoring
- ML Ops
- Databricks
- AWS SageMaker
- Azure ML
- Recommendation systems
- Natural language processing
- Time-series forecasting
- Financial modelling
- MLflow
- Git-based CI/CD
- dbt
- Streamlit
- Power BI
- Tableau
- R
- Scala
Location
- Australia
- Philippines
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- A vibrant, relaxed, yet professional culture.
- Hybrid working arrangement designed to support work-life balance, while fostering meaningful connection and collaboration.
- A holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work.
- Generous paid Parental Leave: 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers.
- An additional week’s Loyalty Leave each year after reaching 3 years’ service.
- Wellness initiatives with a strong focus on psychological safety.
About the Company
- Lendi Group is transforming the way Australians find, buy and own property.
- As the company behind Lendi — Australiaʼs original and #1 digital mortgage brand — and the iconic Aussie franchise network, we combine technology, distribution and deep property expertise to support customers across their entire property journey.
- Powered by our proprietary AI platform and a national network of 1,300 brokers and 220 retail stores, Lendi Group now manages a $107B+ loan book and continues to set the pace in the industry, recently recognised as Aggregator of the Year.
- Through our integrated Find–Buy–Own ecosystem and industry-leading Agentic platform, weʼre redefining how property decisions are made — delivering greater confidence, speed and simplicity for customers.
- Innovation at Our Core – We challenge the status quo and push boundaries to create better solutions, with a goal of becoming AI-native by June 2026.
- Work with the Brightest – Collaborate with some of the brightest minds in fintech, financial services, and strategy.
- Make an Impact – Contribute to meaningful projects that shape our business and the future of property finance.
- Grow & Evolve – Develop your skills and advance your career in a fast-moving, purpose-driven environment.
- Lendi Group teams operate across Australia and the Philippines.
- Bringing together diverse expertise, innovative technology and a customer-first approach, our teams work seamlessly to simplify the property journey, helping Australians find, buy and own property with confidence.
- We’re committed to fostering a diverse and inclusive community at Lendi Group.
- We believe that a team reflecting the world around us leads to greater innovation, stronger collaboration, and a more engaging workplace.
- Our culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human.
- Our values are part of our core DNA that helps Lendi Group to attract, engage and evolve the right talent and build best-in-class products.
- This is an opportunity to shape the future of a fast-growing, purpose-driven company that’s transforming the homeownership journey.
- Ready to contribute to Lendi Group’s next chapter? Apply now and be part of something big!
Equal Opportunity
- We’re committed to fostering a diverse and inclusive community at Lendi Group.
- We believe that a team reflecting the world around us leads to greater innovation, stronger collaboration, and a more engaging workplace.