Principal Data Scientist

at  Commonwealth Bank

ABOUT US:

Our Retail Banking Services (RBS) AI and Data Science team is central to realizing the Group’s vision of a future enriched by advanced AI technologies. We integrate cutting-edge Generative AI, Agentic AI, and Deep Learning methodologies to provide a seamless, customer-centric banking experience. Our team delivers market-leading products and services supported by some of the world’s most sophisticated systems and processes.

THE OPPORTUNITY:

We are looking for a Principal Data Scientist (Executive Manager) to collaborate closely with various crew leads across the bank. You will lead your team to deliver world-class data science and AI capabilities across RBS and the Group. Our strategic focus is on positioning the Group at the forefront of AI innovation, delighting our customers at every interaction, and driving technology modernization. Your leadership will be instrumental in shaping the future direction and vision of AI, with a particular emphasis on Generative and Agentic AI.

TECHNICAL SKILLS AND TOOLS:

• Generative AI Hands-On Delivery Experience: Demonstrated hands-on experience as a data scientist and engineer, with recent successful applications of Generative AI in a business context. Expertise includes prompt engineering, RAG, guardrail design, orchestration design, and tools like LangChain and LangGraph.
• Machine Learning: Expertise in designing and constructing machine learning models, including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of predictive models.
• Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub.
• Tooling: Hands-on experience with GenAI and data science tools such as Spark, Python, R, TensorFlow, PyTorch, SQL, and key AWS integration packages.
• Data Engineering: Knowledge of ETL processes and data pipeline construction to ensure efficient data flow and integration.
• Deployment: Extensive experience with Docker for containerization and deployment of applications.
• Cloud Architecture: Demonstrated experience in developing, deploying, and monitoring GenAI and AI models on AWS infrastructures, including Bedrock, SageMaker, Knowledge Base, and OpenSearch.

• Lead GenAI and Agentic AI Initiatives: Drive the expansion and adoption of Generative AI and Agentic AI solutions within retail banking. Optimize product offerings, enhance customer experiences, and simplify internal processes through the design, development, and integration of these AI technologies.
• Enable the RBS AI Team as a Gen AI Centre of Excellence: Upskill RBS data science practitioners and enhance capabilities in key techniques such as prompt design and engineering, RAG, multi-shot prompting, and fine-tuning. Ensure expertise in tools like LangChain and LangGraph, and establish best practices for monitoring, testing, and validating GenAI solutions.
• Develop Transferrable and Re-usable Frameworks and Architectures: Collaborate with technology and engineering teams to design and build standardized Gen AI assets applicable across the Retail Bank. Formulate key architectural design patterns that can be adopted and leveraged by all RBS domains.