Description
You are a data scientist who builds practical, production‐ready AI and data science solutions that turn complexity into clear outcomes.
We are a team applying advanced analytics and Generative AI to shape how CBA connects with customers, protects trust and drives better decisions.
Together we deliver responsible, scalable AI that improves customer experiences and creates measurable value at scale.
Do work that matters.
As a Data Scientist in the Marketing & Corporate Affairs (MCA) Data Science team, you will design, build and productionise data science and AI solutions that shape how Commonwealth Bank understands and serves customers at scale. You will contribute across the full AI lifecycle – from problem definition and experimentation through to deployment, monitoring and continuous improvement. Your work will directly inform decision‐making across marketing, customer experience and communications. From applying Generative AI to unlock insight from unstructured customer data to designing agent‐oriented AI patterns that automate analysis and decision workflows, you will work on high‐impact, applied use cases at the forefront of modern data science.
See yourself in the team
You will partner closely with stakeholders across Marketing & Corporate Affairs, working alongside product managers, analysts, engineers and risk teams to co‐create practical, outcome‐focused solutions. With MCA central to shaping customer relationships and trust, you will help apply AI and data science to improve customer outcomes, optimise journeys and deliver measurable commercial and risk benefits. You will also be part of the broader CBA Data Science Practice, contributing to shared standards, governance and capability uplift, while continuing to grow your own technical and leadership skills.
We're looking for people who:
* Build production‐ready data science and Generative AI solutions with real‐world impact
* Enjoy working with open‐ended problems and turning complex data into clear insights and actions
* Combine classical data science, machine learning and GenAI approaches to deliver business value
* Work collaboratively and confidently with senior stakeholders to shape and refine use cases
* Are motivated to learn and contribute to scalable, governed AI systems in a regulated environment
* Balance creativity with thoughtful consideration of risk, ethics and safety
Technical skills & experience
We use a broad and evolving toolkit. You don't need to bring experience in everything, but the areas below will set you up for success:
* Experience applying Generative AI concepts or building prototype GenAI applications
* Hands‐on use of Large Language Models (LLMs) for analytics, insight generation or decision support
* Exposure to agentic or multi‐agent GenAI frameworks (such as Semantic Kernel, AutoGen, LangGraph or similar)
* Strong foundations in data science and AI, including prompt engineering, retrieval‐augmented generation (RAG), evaluation and safety guardrails
* Experience, or a strong interest, in developing and deploying models on cloud platforms (for example, AWS)
* Solid grounding in statistics, modelling, experimentation and data wrangling.
* Strong communication skills, with the ability to explain technical concepts to non‐technical and senior audiences
* A tertiary qualification in Statistics, Mathematics, Computer Science or a related discipline
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