Lead Data Scientist

On a typical day you will: 

• Lead, mentor and motivate a data science team (up to10 people) and set the technical direction and standards 
• Collaborate within a cross-functional digital team, including Product Management, Engineering and Design. 
• Bridge the gap between business problems and data science solutions, turning opportunities into impactful, production-ready models. 
• Utilise strong analytical and modelling skills to design, build, and validate machine learning solutions, particularly tree-based methods (e.g. XGBoost, GBM, LightGBM), neural networks, and transformer-based approaches. 
• Define and lead the end-to-end lifecycle of data products in an agile environment, from problem framing and experimentation through to deployment and monitoring. 
• Conduct and document detailed analysis, including business case development, to prioritise use cases and clearly communicate trade-offs and expected value to stakeholders. 
• Work closely with data and platform engineers on ETL pipelines, containerised solutions (e.g. Docker, Kubernetes), and cloud-based environments (e.g. GCP, AWS, Azure), with exposure to modern data platforms such as Snowflake and Databricks. 
• Collaborate with cross-functional Agile teams (Engineering, Product, Design, QA) in remote and on-site settings, applying appropriate governance and engagement models to data projects. 
• Provide BAU support for existing models and data products, while actively managing demand, prioritisation, and stakeholder expectations to create space for strategic, high-impact data science initiatives. 

• Proven end-to-end Data Science experience (6+ years), including recent experience operating at Senior/Lead level 
• Proven ability to lead, mentor and motivate a data science team (typically 3–10 people) and to set technical direction and standards 
• Strong, hands-on expertise with modern machine learning models and algorithms, particularly tree-based methods (e.g. XGBoost, GBM, LightGBM), statistical models, and neural networks 
• Demonstrated experience working with LLMs, transformers and embeddings in practical, production-oriented use cases 
• Solid understanding of the end-to-end lifecycle of data products, from problem framing and model development through to productisation, pipelining and BAU support 
• Proficiency in Python and a strong command of SQL for data exploration, feature engineering and model implementation 
• Experience working with cloud platforms (e.g. GCP, AWS or Azure) and familiarity with modern data ecosystems such as Snowflake and/or Databricks (or ability to upskill quickly) 
• Exposure to containerised solutions (e.g. Docker) and collaborating with engineers on production deployment and MLOps practices 
• Strong stakeholder management and communication skills, with the ability to translate business problems into data solutions and tell a compelling story with insights 
• Experience contributing to or leading governance and engagement models (e.g. steering committees, RACI/RASCI frameworks, working groups) across multiple stakeholders 
• Demonstrated capability in prioritisation and managing tradeoffs in a resourceconstrained or scaleup environment, including pushing back on lowvalue work 
• Experience developing or contributing to business cases for data and AI initiatives, including articulating value, risks and assumptions 

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 support our people in a variety of ways, but a few of the benefits that our people rave about include:

• 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: we celebrate our growing Lendi Group family with 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.

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!

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