Company Description

Lendi Group is a market-leading digital platform business focused on transforming the home loan industry. It operates the country’s #1 retail mortgage broker – the iconic Aussie Home Loans franchise – and the Australia’s #1 digital mortgage brand, Lendi.

Together, with its national network of 1,300 brokers and 230 retail stores, the Lendi Group brands give all Australians the power of choice, and confidence, in one of life’s biggest financial decisions.

Building on this market-leading foundation, Lendi Groups vision is to be the undisputed place for Australians to buy and own property through our new Aussie Homes propositions.

Lendi Group’s loan book is more than $100b and it was named Australia’s Aggregator of the Year for 2024

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/

About the role

Lendi Group is seeking an experienced Senior Data Scientist that will be part of a multi-disciplinary engineering team that will be designing, developing, and deploying AI systems that drive agentic AI Automation within the property buying and owning, mortgage broking and financial services sector. You will work at the intersection of AI, data, software engineering, and financial services, building cutting-edge solutions that enhance operational efficiency and customer experiences. 

You will be reporting to a newly formed team within Lendi Group that is focused on AI driven initiatives, working side-by-side with a high performing, knowledgeable and fun team.

This is a unique opportunity to make an impact on our long-term vision to expand our AI capability across the enterprise. We are open to this being a full-time permanent position or a fixed-term contract arrangement.

Due to the nature of the project, you will be required to work from our Sydney-based Head Office alongside the broader project team for four to five days per week.

Job Description

As a Senior Data Scientist, you will work on some of the most intriguing challenges that the 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 production, 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 newly formed project 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. These problems include: 

• Personalisation  
• Growth and retention 
• Predictive Customer Lifetime Sales 
• Efficiency improvement of our sales channels 
• And many more… 

While solving these problems, you will: 

• 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 
• 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 

Qualifications

Passionate about data science, machine learning, deep learning, you are a true problem solver who is always learning and growing. A true team player, you believe in collaboration and helping out your team members. 

• 5+ years of experience as a Data Scientist or related working experience, e.g., Machine Learning Engineer. 
• Expertise in machine learning algorithms and demonstrable expertise in their 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 (also open to candidates who have strong R, Scala or Java experience with openness to learn Python) 
• Expertise in data visualisation libraries and products (e.g., PowerBI, Tableau) 
• Experience in DevOps environment (e.g., Git) 
• Very detail oriented is expected to ensure a high level of quality in report, data, and model analysis 
• Proven skills in translating analytics output to actionable insights and recommendations. 
• Work with cross-functional teams to understand where and when different models or analyses should be used and can create value. 

Additional Information

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

• A vibrant, relaxed, yet professional culture 
• Wellness initiatives with a strong focus on psychological safety 
• We offer 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 
• A 24/7 Employee Assistance Program service providing counselling and support 

We are a people-first company that invests in initiatives to promote a healthy work environment, such as offering an Employee Assistance Program and social groups such as our industry-leading Women in Technology group.

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.

Feeling like you don’t meet all the skills listed? That’s ok; we are always on the lookout for different skills, experience, and qualities and so we’d still like to hear from you.

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