Lendi Group is the new group born out of the merger of Aussie Home Loans and Lendi. As a Group we operate a multi-brand strategy across Aussie Home Loans and Lendi, pulling together a truly personalised home loans experience for the Australian audience that balances both human support and smart technology.
We’re revolutionising the industry with best-in-class technology and a suite of tools that takes the hard work out of home loans – for our Customers and Brokers alike.
At Lendi Group we value work life balance. Our flex-first policy enables our team members to choose how they do their best work; home, office, or flex!
Diversity, Equality, and Inclusion are fundamental to the success of Lendi Group. We’re passionate about fostering an environment where our team members feel valued and supported and we celebrate everyone’s unique identity.
To learn more about life at Lendi Group check out our blog: https://www.lendi.com.au/inspire/category/life-at-lendi/
Job DescriptionWhat’s the role?
As a Senior Data Scientist, you will work on some of the most intriguing challenges that Lendi Group faces. You will be tasked to solve these challenges using advanced analytics, machine learning, deep learning, and broader data science techniques in an agile environment. You will not only develop the models but will also be instrumental in end-to-end solution creation, including the productionisation, automation, and implementation of these models in the respective business unit. So, we are not looking for a lone wolf, we are looking for a team player who thrives working with others – within the DNA team and across a broad breadth of stakeholders.
As a Senior Data Scientist, you will take on business problems which have a direct impact on customers and the business. Including; Financial and valuation modelling, Personalisation, growth and retention and more.
What you will do:
- Work with large datasets to gain insights, train predictive models and measure results.
- Be involved in the full product life cycle.
- Develop scalable and innovative ML solutions.
- Learn and implement latest AI and ML techniques (such as GPT and other AI models).
- Own and support the finance team on a critical financial model.
- Collaborate with the data team, reviewing solutions, sharing knowledge, and improving coding standards.
- Collaborate with internal teams and stakeholders to gain a complete understanding of the problem to be solved and to implement the models to achieve desired outcomes.
- Collaborate with external stakeholders.
- Ensure projects are delivered on time and budget.
- Ensure documentation of the proposed solutions.
- Commercial experience as a Data Scientist or related working experience, e.g., Machine Learning Engineer
- Experience in financial services organisation or financial modelling experience is essential
- Expertise in machine learning algorithms and demonstrable expertise in mathematical fundamentals
- Experience in the full lifecycle of developing, deploying, and maintaining machine learning models in the cloud, such as Sagemaker and AWS
- Demonstrated experience writing high-quality Python code, R or Scala.
- Exposure to data visualisation libraries and products (e.g., PowerBI, Tableau) and working in a DevOps environment (e.g., Git)
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.
Our culture is guided by our three core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. These values are part of our DNA—helping us attract, engage, and grow the right talent while building best-in-class products. Together with our principles, they guide how we collaborate, support one another, and make decisions to drive progress with purpose.
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.
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!
#lendigroup #LI-GP2 #LI-Hybrid
Skills Required
- Commercial experience as a Data Scientist or related working experience
- Experience in financial services organisation or financial modelling experience
- Expertise in machine learning algorithms and mathematical fundamentals
- Experience in the full lifecycle of machine learning models in the cloud
- Demonstrated experience writing high-quality Python code, R, or Scala
- Exposure to data visualisation libraries and working in a DevOps environment
What We Do
We are one of Australia’s fastest growing fintechs, building market leading technology to transform the home loan industry through our powerhouse property lending brands and networks - Aussie and Lendi. Lendi Group exists to transform the stressful, disjointed and sometimes overwhelming journey of financing a property into a friction-free experience for everyone involved. Our cross-functional team of super smart experts and brokers power our brands, products, services, relationships and platforms to help more Australians secure their property dreams, seamlessly. With a shared history of challenging the status quo, our brands provide different experiences for customers but the endgame is always to help more Australians achieve their home ownership dreams.
