Job Description

Your Prospect

As a Senior Data Scientist, you will support the data science function within the Financial Crimes Domain. You will leverage large and complex data sets to uncover insights, build predictive models and influence strategic decision-making across the business. You will also play a key role in driving data science best practices, mentoring team members and advancing the organisation's fraud detection and prevention capabilities.

You'll make an impact in this role by:
Leading the development of advanced analytics, machine learning models and fraud detection strategies to identify and mitigate emerging fraud risks.
Driving the end-to-end machine learning lifecycle, including feature engineering, model deployment, monitoring, retraining and governance to ensure scalable, reliable and well-managed production outcomes.
Working with large, complex and diverse datasets to uncover patterns,



validate hypotheses and generate actionable insights.
Translating complex analytical findings into practical recommendations that improve products, processes and business outcomes.
Driving best practice across data science, experimentation, machine learning, MLOps and analytics frameworks.
Evaluating emerging technologies, tools and methodologies to enhance fraud detection effectiveness and operational efficiency.
Partnering with cross-functional stakeholders including Product, Technology, Risk, Fraud Operations and Engineering teams to deliver data-driven solutions.
Mentoring, coaching and providing technical guidance to junior and intermediate Data Scientists, fostering capability uplift and career development across the team.

📌 Senior Data Scientist Sydney (Australia)
🏢 Cuscal
📍 Australia