Senior Data Scientist - Responsible AI, Agentic AI

Commonwealth Bank; Sydney; Hybrid; AUD 140,000 - 210,000; Full time

Job summary

Commonwealth Bank is hiring a Senior Data Scientist focused on Responsible AI within the Agentic AI domain in Sydney. You will develop evaluation, runtime assurance and monitoring capabilities, solving complex problems that ensure AI systems across the group deliver reliable outcomes for customers and staff.

You will collaborate with data scientists, engineering teams and risk and policy colleagues to operationalise responsible AI, implement governance, and communicate risk and impact to senior

Qualifications

• Strong hands-on experience designing, developing and evaluating production AI or ML solutions, including Generative or Agentic AI.
• Experience evaluating and managing risk of Generative and Agentic AI systems.
• Foundations in statistics, probability and ML; ability to interpret and explain model behavior.
• Advanced Python and SQL with relevant ML/DL frameworks.
• Experience with cloud environments (AWS/Azure), version control, CI/CD, containerization and observability.
• Experience applying responsible AI, governance, risk management in regulated environments.
• Strong written and verbal communication to influence stakeholders.
• Degree in data science, CS, engineering, math is beneficial.

Responsibilities

• Deliver world-class evaluation and assurance capabilities for Generative and Agentic AI across the Group.
• Collaborate with engineering, data science, risk, and policy teams to design AI capabilities.
• Build and operate formal risk controls for responsible AI practices.
• Establish executive risk reporting for responsible AI outcomes to senior leaders.
• Apply statistical methods to complex and ambiguous Responsible AI challenges.
• Work with data scientists and developers to define requirements for Responsible AI capabilities.
• Keep up-to-date with industry advances in Generative and Agentic AI and responsible AI.
• Contribute to best-practice frameworks and coding standards.
• Coach and mentor team members to grow AI and data science capability.

Skills

Generative Agentic AI

Statistical knowledge

Python

SQL

Cloud environments

Risk management in AI

Stakeholder communication

Education

Data Science / CS / Statistics / Engineering degree

Tools

TensorFlow/PyTorch

Docker

CI/CD

Job description

Senior Data Scientist - Responsible AI, Agentic AI

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,inclusionand continuous improvement. We share knowledge, test emerging methodsthoughtfullyandmaintaina strong focus on outcomes and technicalquality.

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 trustedrelationshipsand canoperateeffectively across technical,businessand risk contexts

Technical Skills and Qualifications:

• Strong hands-on experience designing,developingand evaluatingproductionAI 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 foundationin statistics,probabilityand machine learning, with the ability to interpret,evaluateand explain modelbehaviour
• 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,monitoringand observability
• Experience applying responsible AI, model governance, riskmanagementand 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,Mathematicsor 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.