Commonwealth Bank of Australia
Senior Data Scientist - Responsible AI, Agentic AI
Commonwealth Bank of Australia is hiring a Senior Data Scientist - Responsible AI, Agentic AI. 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.
- Tools and skills the posting cites include AI safety.
- Level classifies it as a senior role.
- Level lists 207 other open roles at Commonwealth Bank of Australia.
- The role was posted in the last few days.
AI in this role
Senior Data Scientist - Responsible AI, Agentic AI
- Develop key Responsible AI capabilities across evaluations, runtime assurance and ongoing monitoring for use across the Group
- Solve complex challenges to influence high-priority initiatives that drive Responsible AI across the Group
- Work with other data scientists and engineering tech teams to build, deploy and manage Responsible AI capability
Do work that matters
At CommBank, we are investing in AI to create better customer experiences and meaningful value for the communities we serve. Within the Responsible AI Domain, advanced data science and risk management come together to set the direction for Responsible AI across the Group.
As Senior Data Scientist, Responsible AI you will use your technical expertise to deliver key responsible AI capabilities that are used across the Group to ensure AI systems built across the Group deliver quality outcomes to our customers, staff and communities.
See yourself in our team
You will join a highly technical data science team developing and managing key Responsible AI capabilities across evaluations, runtime assurance and ongoing monitoring. The team works closely with risk and policy teams, data scientists from across the Group, engineering teams and others to ensure Responsible AI is built-in and operating seamlessly and at scale.
We value curiosity, pragmatism, inclusion and continuous improvement. We share knowledge, test emerging methods thoughtfully and maintain a strong focus on outcomes and technical quality.
We support flexible ways of working, with a balance between time in the office and remote work. Talk to us about arrangements that work for you.
Key Responsibilities:
- Deliver world-class evaluation and assurance capabilities for Generative and Agentic AI that support data scientists across the Group
- Partner with engineering, data science, risk and policy teams in designing and delivering Responsible AI capabilities
- Partner with risk and policy teams also in building and operating formal risk controls which formalise and standardise responsible AI practises
- Establish executive risk reporting which gives appropriate visibility of responsible AI outcomes to senior leadership
- Apply statistical methods and structured problem solving to complex and ambiguous challenges in Responsible AI
- Work closely with data scientists and developers across the Group to understand requirements for Responsible AI capabilities and identify enhancement opportunities
- Keep up-to-date with industry developments and best practise in Generative and Agentic AI, and responsible AI
- Contribute to best practice frameworks and coding standards across the team
- Coach and mentor team members while helping build AI and data science capability across the team
We’re interested in hearing from people who:
- Are experienced data scientists with strong technical judgement
- Enjoy solving complex problems and turning emerging technologies into reliable, practical outcomes
- Communicate clearly, build trusted relationships and can operate effectively across technical, business and risk contexts
Technical Skills and Qualifications:
- Strong hands-on experience designing, developing and evaluating production AI or machine learning solutions, including Generative or Agentic AI
- Detailed practical experience in evaluation and managing the risk of Generative and Agentic AI systems
- A strong foundation in statistics, probability and machine learning, with the ability to interpret, evaluate and explain model behaviour
- Advanced Python capability, together with experience using SQL and relevant machine learning or deep learning frameworks
- Practical knowledge of cloud environments such as AWS or Azure, version control, continuous integration and delivery, containerization, monitoring and observability
- Experience applying responsible AI, model governance, risk management and documentation requirements in a regulated or similarly complex environment
- Strong written and verbal communication skills, including the ability to influence senior stakeholders and explain technical decisions to varied audiences
- A tertiary qualification in Data Science, Statistics, Computer Science, Engineering, Mathematics or a related discipline is beneficial
- Experience in software engineering is also beneficial!
Working with us
At CommBank, we foster a culture of inclusion and respect, celebrating diversity across cultures, abilities, genders, gender expressions and sexual orientations. If this role excites you but you don’t meet every requirement, we still encourage you to apply as you may be the right fit for this role or another opportunity with us.
We’re committed to making a meaningful difference for Australia’s First Nations peoples and welcome all applicants.
APPLY NOW to do your best work and live your best life with us!
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: 16/11/2026How we rate this
Senior Data Scientist - Responsible AI, Agentic AI at Commonwealth Bank of Australia rates 87 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
Pay
- Typical data scientist job
- $167k
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 think about the risk of an AI system in this kind of role failing silently?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI Safety. 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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