Data Scientist

About us
Tiimely is a platform technology company powering the next generation of financial services products and experiences. We enable greater efficiency, transparency, and engagement in lending processes through our proprietary AI-driven platform, which can be licensed as an end-to-end digital home loan solution or integrated across any financial assessment journey.

The position
We’re looking for a Data Scientist to join our growing Data team and help embed automation and Artificial Intelligence across our platform and products.

In this role, you’ll build advanced models, solve complex business problems, and help operationalise data science into real-world outcomes. You’ll work closely with stakeholders across delivery, tech, and the business to unlock the full potential of our data, and you’ll be involved across the full lifecycle of model development—from design through to deployment.

Your other responsibilities will include:

• Develop, optimise, and deploy machine learning models that drive real business outcomes.
  
• Maintain model performance through retraining, tuning, and continuous improvement.
  
• Build and maintain clean, scalable code using Python and SQL.
  
• Design and manage ETL pipelines, transforming raw data into analytics-ready formats.
  
• Ensure high data quality, integrity, and reliability to support accurate insights and decision-making.
  
• Partner with teams across Product, Tech, Delivery, and Operations to identify use cases and deliver AI-powered solutions.
  
• Perform advanced analysis to surface trends, identify opportunities, and support strategic decisions.
  
• Champion ethical and responsible AI use in a regulated environment.
  
• Contribute to a strong data science practice through collaboration, knowledge sharing, and continuous learning.
  
  

The successful candidate
Here’s some of the things we’d like you to bring:

• Proven experience building and deploying machine learning models in a commercial environment
  
• Proficiency in Python and SQL, with hands-on experience using tools like pandas, scikit-learn, TensorFlow, transformers, and AWS Sagemaker
  
• Strong understanding of data science techniques, including supervised/unsupervised learning, NLP, time series, and recommender systems
  
• Experience building ETL pipelines and managing data workflows in cloud-based environments
  
• Solid grasp of statistics, probability, and data-driven problem solving
  
• Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders
  
• Experience working in Agile teams and collaborating across disciplines
  
• Relevant tertiary qualifications in a quantitative field, or equivalent practical experience
  
  

What's in it for you?

• We offer an attractive remuneration package + generous employee share schemes
  
• We offer flexible working hours and work-from-home arrangements to balance your work and lifestyle
  
• We have a vibrant culture and workspace in Adelaide to help you do great work
  
• You'll be part of a company that are building platform products customers love
  
  

Whilst all our job opportunities have specific criteria, if the above describes who you are but you don’t tick all our boxes, we still encourage you to apply. If you have any questions, you can get in touch with Karam Singh at [email protected]

Please let us know if you require any support or adjustments to be made to our hiring process, so that you can participate fully in our recruitment experience.

We’re proud to be recognised as a certified Great Place to Work and Best Places to Work for Women in Australia.