* Make an impact designing and evaluating AI systems powering REA's personalisation for consumers
* Work across a leading property brand impacting millions of users
* Permanent full time role based in Richmond
We're REA
With bold and ambitious goals,
REA Group
is changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step - whether that's finding or financing your next home.
Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we're proud to have been named in Australia's "Top 5" Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.
Where the team fits in
As a Data Scientist in the AI Workflows team within the Consumer Experience division, you'll play a key role in designing and evaluating intelligent AI systems that power REA's next generation of personalised and context-aware experiences. You'll help shape the flow of AI-driven features by leading the experimentation process, from model selection and evaluation design to metrics definition and insight generation. Your work will directly influence how we build, refine and scale AI Assistants and decision systems that support users throughout their property journey.
This role is highly collaborative - you'll work closely with teams across Consumer Product, Consumer Experience, Data Services and PropTrack, contributing to REA's broader AI strategy. You will fine-tune models, guide data labelling efforts, and operationalise evaluation pipelines. You'll help build experimentation frameworks that support confident, evidence-based decisions and measurable product impact.
What the role is all about
* Contribute to the design and development of machine learning solutions for REA's web and app platforms
* Build and maintain recommendation and prediction models using techniques like deep learning, collaborative filtering, regression and decision trees
* Help develop and deploy ML pipelines for both batch and real-time use cases
* Work with cloud-based tools and frameworks such as Python, Docker, and GCP or AWS
* Participate in model evaluation and monitoring
* Collaborate with senior machine learning engineers and data scientists to take ideas from prototype to production
* Work closely with product, engineering and data teams to support AI-powered product features
* Continue to learn and grow your ML skills with hands-on experience and mentoring
Who we're looking for
* A degree in Computer Science, Data Science, Mathematics, Engineering or a related field
* Some hands-on experience with machine learning, data science or software development projects (through internships, coursework or early professional experience)
* Familiarity with Python and key ML libraries such as Pandas, NumPy, Scikit-learn or PyTorch
* Understanding of machine learning concepts such as regression, classification, or recommender systems
* Interest in applying ML to real-world problems like personalised recommendations or user decision models
* Exposure to cloud platforms (such as AWS or GCP) and container tools like Docker is a bonus
* Good communication skills and a willingness to learn and collaborate with others
* Curiosity, problem-solving mindset and enthusiasm for AI technologies
The REA experience
The physical, mental, emotional and financial health of our people is something we'll never stop caring about. This is a place to learn and grow.
Some of our
Perks & Benefits
include:
* A hybrid and flexible approach to working
* Flexible leave options including, birthday leave and purchase additional leave
* Flexible parental leave offering for primary and secondary carers
* Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity
* Hackdays so you can bring your big ideas to life
Our commitment to Diversity, Equity, and Inclusion
We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more effective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.
Join our Talent Neighbourhood
Keen to be part of REA but didn't find a perfect match with this opportunity? Perhaps the timing isn't right?
You should join our Talent Neighbourhood
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