Commonwealth Bank of Australia
Chapter Lead - AI - Home Buying (Lead Data Scientist)
Commonwealth Bank of Australia is hiring a Chapter Lead - AI - Home Buying (Lead Data Scientist). Level rates it ; you can apply on Commonwealth Bank of Australia.
Level's read on this job
- On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions LangChain, LangGraph and PyTorch among its tools and skills.
- Level classes it as a lead role.
- Commonwealth Bank of Australia has 222 other open roles on Level.
AI in this role
We look forward to welcoming a technical leader who will drive impactful projects, lead and mentor a team of Data Scientists, harness cutting-edge AI technologies and pioneer innovative practices that benefit not only CommBank but the banking industry as a whole.
See yourself in our team:
At CBA we have an ambitious goal of leading the way in changing the world through AI. With great buy-in from all senior leadership, we have embarked on world first initiatives to deliver exceptional experiences to our customers. In Retail Banking Services (RBS), as the largest and customer facing part of the bank, we play a unique role in bringing this vision to life and build a brighter future for all Australians.
The opportunity:
Reporting to the Home Buying Chapter Area Lead, you will deliver high priority initiatives across RBS. You will lead the delivery of world-class AI capabilities across RBS that will also build capabilities for the rest of CBA. You will be responsible for cutting edge initiatives in agentic AI, GenAI, and broader AI. Our strategic focus lies in delighting our customers at every touchpoint, offering outstanding service, and meet the needs of our customers.
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.
Key Responsibilities:
· Lead GenAI and Agentic system design and development: Drive the expansion and adoption of Generative AI solutions across RBS, optimising our product offerings through design and implementation of advanced Gen AI capabilities and agentic AI systems.
· Develop and implement Machine Learning Models: Lead the overhaul of various machine learning models, enabling to drive strategic business outcome for various stakeholders.
· Expand Data/AI Science Usage: Identify AI opportunities and embed these methodologies into a broader range of activities across the banking landscape
· Drive Continuous Improvement and Business Outcomes: work closely with business stakeholder to pioneer adoption and application of cutting edge AI and Gen AI capabilities and paving the path for how the bank will operate to towards the vision of re-imagined banking and customer service.
We’re interested in hearing from people with the following skills.
· Technical Leadership and Coordination:
o Ability to coordinate effectively across the Data Science community to unify efforts and drive collaborative outcomes.
o Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group.
o Intellectual curiosity and ability and willingness to learn, experiment and lead new to the world concepts
Technical Skills and Tools:
o 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.
o Generative AI: Familiarity with various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, and tools such as LangChain and LangGraph.
o Cutting-Edge AI: Work on projects leveraging traditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future.
o Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub.
o Tooling: Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL.
o Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration.
o Deployment: Familiar with Docker for containerization and deployment of applications.
o Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions.
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.
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Advertising End Date: 23/11/2026How we rate this
Chapter Lead - AI - Home Buying (Lead Data Scientist) at Commonwealth Bank of Australia rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide that one model's output is better than another's for a given task?
- What's a project where you used LangChain hands-on?
- Walk me through how you've used LangGraph in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI Evaluation, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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