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. 

Qualifications :

• 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 310 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 

Additional Information :

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 weeks Loyalty Leave each year after reaching 3 years service.
• Wellness initiatives with a strong focus on psychological safety.

Were 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 thats transforming the homeownership journey.

Ready to contribute to Lendi Groups next chapter Apply now and be part of something big!

#lendigroup #LI-GR2 #LI-hybrid

Remote Work :

No

Employment Type :

Full-time