Senior Data Scientist

Forward with Cuscal

Ever tapped your phone to buy a morning coffee or made a purchase from your favourite online store? Chances are, we've made it happen.

At Cuscal, we've been at the forefront of payments innovation for nearly 60 years, enabling seamless, secure solutions that millions of Australians rely on every day. From launching Australia's first ATM to helping shape the future of digital payments, we continue to transform the way money moves.

Your Opportunity

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.

What you'll bring

To be successful in this role, you will bring a combination of the following skills, experience and capabilities:

Responsibilities

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 professional development across the team.

Requirements

Extensive experience developing and deploying machine learning, artificial intelligence, statistical modelling and advanced analytics solutions to solve complex business problems and deliver measurable outcomes.; Experience working within Financial Services, payments, acquiring, digital banking, financial crime, fraud risk management or real-time payments environments.; Advanced programming skills in Python and SQL, with experience developing scalable data science and machine learning solutions.; Proven experience designing, developing, validating and optimising machine learning models across the full model development lifecycle.; Hands-on experience with Databricks or similar cloud-based data science and machine learning platforms, including model development, data engineering workflows and productionisation of machine learning solutions.; Strong understanding of MLOps principles and practices, including CI/CD pipelines, automated testing, model deployment, model monitoring, performance tracking, retraining and governance.; Experience working with cloud-based data, analytics and machine learning ecosystems and delivering production-grade AI and ML solutions.; Experience working with large, complex and diverse structured and unstructured datasets to identify fraud trends, risks and opportunities.; Strong stakeholder engagement and communication skills, with the ability to translate complex analytical concepts and model outputs into business outcomes; Demonstrated experience mentoring and developing junior Data Scientists.

Benefits

Recognition and growth : Celebrate achievements through IGNITE and grow with tailored development opportunities; Wellbeing focus: We support your physical, mental and financial health with holistic initiatives and access to discounts via Cuscal Advantage; Diversity and inclusion : Join a workplace that values different perspectives and flexible work arrangements