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Open nowPosted yesterday

Senior Data Scientist - Responsible AI, Agentic AI

CBA230 open roles

Where
Sydney CBD Area
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Your applicationOpen nowSenior Data Scientist - Responsible AI, Agentic AICBA · Sydney CBD Area

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. CBA postings stay open a median of 13 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

CBA median: 13 days open

The posting

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.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 16/11/2026

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