Senior Data Scientist at Commonwealth Bank

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

0.0

Posted On

01 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Generative AI, MLOps, Statistical Modelling, Prompt Engineering, Software Engineering, Cloud Computing, Model Deployment, Data Literacy, Python, Version Control, Scalable Solution Design, Financial Crime Detection, AI Governance, Technical Leadership

Industry

Financial Services

Description

See yourself in our team: At the heart of the Chief Operations Office, we’re driving CBA’s ambition to detect, deter and ultimately eliminate financial crime through the power of transformative AI solutions. As a Senior Data Scientist in Financial Crime domain, you’ll be a hands-on technical leader working in multiple cross-functional squads with engineers and other experts to design and deliver innovative, responsible and high impact AI solutions for multiple projects at once. You’ll stay at the forefront of emerging technologies, fostering a culture of curiosity, inclusion, and continuous learning in the team, and translating complex ideas into high-impact outcomes for our customers and colleagues. You’ll contribute strongly to guide the team on technically demanding problems across Fin Crime domain as AI continues to evolve. If you’re passionate about shaping the future of AI while helping others thrive, we’d love you to lead with us. Why CommBank? CommBank is leading the world of banking by venturing into new-to-the-world innovations. We're on the cutting edge, embracing AI technologies to reshape how we operate and serve our customers. When you join CommBank, you’re joining a team that values expertise and innovation, and you’ll be empowered to lead projects that push the boundaries of what's possible. Responsibilities: Define and enhance processes associated with deploying, monitoring and running models in production. Ensure compliance and assist with various regulatory requirements and internal policies and procedures and the responsible use of AI. Generate and communicate insights aligned to business objectives and relevant to diverse stakeholders and clients, taking into consideration business roles and technical understanding of audiences. Contribute to the delivery of data science projects from inception to completion, including scoping, planning, execution and delivery of results. Utilise generative AI tools to assist in coding tasks, crafting prompts to generate output, and integrating AI-generated results with human-driven output. Provide guidance and coaching to the team on applying appropriate modelling and statistical techniques. We are interested in hearing from people who have: We’re looking for a candidate who brings a strong blend of technical expertise, strategic thinking, and hands-on experience in delivering impactful data science solutions. The ideal candidate will have: Extensive experience in data science and machine learning, with a proven track record of delivering end-to-end projects from problem scoping and data preparation to model development, deployment, and monitoring. Advanced proficiency in AI and data literacy, including the ability to translate complex data into actionable insights for both technical and non-technical stakeholders. Deep expertise in statistical modelling and machine learning techniques, with practical experience applying them to solve real-world business problems. Hands-on experience with MLOps practices, including model deployment, monitoring, versioning, and lifecycle management in cloud environments (e.g., AWS, Azure, GCP). Strong working knowledge of generative AI tools and techniques, including prompt engineering, integrating AI-generated outputs into workflows, and enhancing productivity through AI-assisted development. Proficiency in software engineering principles, including version control, testing, and scalable solution design, to ensure robust and maintainable ML systems. Tertiary Qualification in Statistics, Mathematics, Data Science or Computer Science. Working with us: Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 09/06/2026 Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive and flexible workplace. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day. Here, you’ll thrive. You’ll be supported when faced with challenges, and empowered to tackle new opportunities. We really love working here, and we think you will too.

Responsibilities

Lead the design and delivery of innovative AI solutions to detect and eliminate financial crime within the Chief Operations Office. This includes managing the full ML lifecycle from scoping to production deployment and providing technical coaching to the team.