Overview
This is a hands-on Senior Data Scientist role within a product-led fintech building consumer credit and payment products at scale. The role sits close to core product, credit, and portfolio decisions – not as a side analytics function.
You'll own credit and behavioural models end-to-end: from data exploration and modelling through to production deployment, monitoring, and real portfolio impact.
Salary: Up to $200k + Super
Location: Sydney or Melbourne (hybrid / remote supported)
What You'll Be Doing
* Build, extend, and maintain credit and behavioural models used in production
* Own loan portfolio performance, including monitoring drift, stability, and outcomes
* Perform exploratory analysis and clear data visualisation for decision-making
* Partner closely with engineering to productionise models into a TypeScript-led backend
* Coach and mentor engineers and data scientists on data, modelling, and ML practices
Technology Environment
* AWS (Airflow / MWAA)
* Python for analysis and modelling
* JavaScript / TypeScript in the product layer
* SQL for analytical workflows
* Optional but valuable: S3, Glue, Athena, IAM, SageMaker
How This Role Actually Operates
* Reports directly to the CTO
* Small, high-trust team with real autonomy
* Data Science split across Melbourne, with CTO and core engineering in Sydney
* Models are expected to run in production, be monitored, and influence decisions
Send me your CV, let's talk about it.
Desired Skills and Experience
Senior Data Scientist with 4+ years applied ML, credit or behavioural modelling, Python, SQL, production ML on AWS. Strong visualisation skills. Australian PR or Citizenship essential.
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