Senior Data Scientist

Posted 18 Hours Ago
Be an Early Applicant
Sydney, New South Wales
Senior level
Fintech • Software • Financial Services
The Role
The Senior Data Scientist will leverage advanced analytics and machine learning to address significant challenges within the Lendi group. Responsibilities include solution design, model development and integration, stakeholder collaboration, and translating analytical findings into actionable business insights.
Summary Generated by Built In

Company Description

Lendi Group is the 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/


About the Role

The Data Super Group (DSG) at Lendi group is a growing family of diverse data enthusiasts who have been achieving great results with collaboration, passion, and grit. The Data Science team is one of the smaller teams within the DSG team.

As a Senior Data Scientist, you will work on some of the most intriguing challenges that the Lendi group faces.

Job Description

The role involves using advanced analytics, machine learning and broader data science techniques to build solutions for these challenges and demonstrate value to the business.

It will cover solution scoping and design, as well as development and integration into stakeholder business units. The role requires curiosity and desire to understand stakeholder and user contexts, and the ability to explain complex solution design to non-technical stakeholders.

You will drive the delivery of data science solutions across a wide range of business problems.

Examples include:

  • AI agent development and embedding
  • Customer predictive modelling
  • Product recommendation engines
  • Classification systems

And many more...

Qualifications

Passionate about data science, machine learning, deep learning, you are a true problem solver who is always learning and growing.

You bring a consultative approach, that ties technical skills with building trust with stakeholders, and tying solutions to their objectives and context.


  • 4+ years of experience as a Data Scientist or related working experience
  • Knowledge and experience of using a variety of machine learning and advanced analytics techniques and their real-world advantages/drawbacks/tuning techniques such as clustering, decision tree learning, neural networks etc
  • Experience in the full lifecycle of developing, deploying, and maintaining machine learning models, data preparation, feature engineering, model training and MLOps.
  • Proficiency in Python and SQL and one or more machine learning frameworks
  • Interest in GenAI and LLMs (prompt engineering, RAG, LLMOps, fine tuning, guardrails etc)
  • Experience with data visualisation libraries and products (e.g., PowerBI, Tableau, dash, shiny etc)
  • 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, recommendations and commercial outcomes.
  • Work with cross-functional teams to understand where and when different models or analyses should be used and can create value.

Additional Information

  • We’re Flex First which means we’ve fully embraced flexible working from home and have metropolitan city offices for those who do want to work from the office.
  • We offer extended Paid Parental Leave: we celebrate our growing Lendi Group family with up to 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. 

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.

Lendi Group is a 2024 Circle Back Initiative Employer; we value a positive candidate experience and commit to respond to every applicant. Once we have received your application, we will reach out to you via email.

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.

#Lendigroup #LI-GR2 #LI-Hybrid

Top Skills

Python
SQL
The Company
Sydney, Sydney
2,432 Employees
On-site Workplace
Year Founded: 2021

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.

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