Senior Data Scientist – Applied Machine Learning

• 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 personalisation 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.

Qualifications :

• 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 judgement about when to use a simple explainable approach and when a more advanced technique is justified.

It would be useful if you also have

• Experience with generative AI large language models or agentic AI applications.
• Experience with recommendation systems personalisation or customer propensity modelling.
• Experience with natural language processing time-series forecasting or financial modelling.
• Experience with MLflow Git-based CI/CD dbt or related data and ML engineering practices.
• Experience with R or Scala.
• Experience presenting data and model outputs using tools such as Streamlit Power BI or Tableau.

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-AMH1 #LI-hybrid

Remote Work :

No

Employment Type :

Full-time