Senior Data Scientist - Gen AI Disputes

About Us:

Our Retail Banking Services (RBS) Everyday Banking (EDB) team plays a pivotal role in actualizing the Group’s vision of a brighter future for all. The EDB team is an integral part of the customer relationship nurturing with CommBank, and is responsible for offering a customer centric and seamless banking experience to our personal banking customers. We pride ourselves on providing market-leading products and services, supported by some of the world’s best systems and processes.

The E2E Service Journeys crew is responsible for the Disputes Journey, the Deceased Estates and Authorities Journeys. We are dedicated to providing the best service in the moments that matter. The Disputes value stream works together with many other teams including Fraud, Operations, frontline, Digital and Data & analytics to ensure a world class experience for customer who have experienced unauthorised (fraud) transactions or authorised transactions with a negative outcome (e.g. goods/services were not received or not as described). The disputes value stream has also been the first area in the bank to build and implement a GenAI solution to support customers in lodging a dispute.

The Opportunity:

We are looking for a Senior Data Scientist to drive the design, development, monitoring, implementation and management of Generative AI solutions to support the E2E and Self-Service Disputes Journeys team. This will focus on the design and build of an orchestration system and Generative AI capability to provide a self-serve, streamlined capability for customers at a transaction level across the personal banking ecosystem.

We are seeking people who are:

• Passionate about building industry leading commercial, statistical, financial modelling assets that utilises state of the art data science techniques.

• Practical in their approach to design and development of solutions to focus on meeting business and customer needs.

• Adept with using a combination of commercial and technical Data Science models to find unique solutions in adding strategic value to the business.

• Collaborative in nature to work with product teams, curious enough to solve data problems and courageous in positively influencing senior stakeholders.

• Natural leaders that enjoy mentoring people within a team and want to help foster a positive and inclusive culture that promotes development and growth.

• Constantly thinking outside the box and breaking boundaries to solve complex data science problems.

Technical Skills:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;

• Generative AI: Demonstrated hands-on experience with various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, Agentic AI design.

• Machine Learning: Expertise in the design and construction of machine learning models, including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of predictive models into production environments.

• Tooling: Hands-on experience with data science tools such as Command Line Tools/Interfaces, Spark, Python, R, TensorFlow, PyTorch, SQL and GenAI tools such as LangChain and LangGraph.

• Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions.

• Version Control, CI/CD and Deployment: Experience version control and CI/CD pipelines such as GitHub. Familiar with Docker for containerization and deployment of applications.

Collaboration and Coordination:

• Collaborate with the key business areas, across Product, Channel, Technology, Operations and Data Science areas to deliver Data Science solutions focussed on achieving the banks customer and commercial outcomes

• Proven experience in working within and across large, high-performing multi-disciplinary team.

• Ability to coordinate effectively across the Data Science community to unify efforts and drive collaborative outcomes.

• Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group.

• Proficiency in risk management strategies to identify, mitigate, and manage data and model related risks.

Why CommBank:

Whether your passion lies in customer service, data-driven decision-making, or innovative creativity, a career with CommBank offers it all. Our team members bring diverse backgrounds and unique perspectives to foster a respectful, inclusive, and flexible workplace. Driven by our values, we empower each other to share ideas, initiatives, and energy. Here, making a positive impact for customers, communities, and our colleagues is part of our everyday work life.

Discover a career with CommBank where your contributions lead to a brighter future for all. 

Advertising End Date: 19/02/2025