Expression Of Interest: Senior Data Scientist – Ml, Gen Ai

Commonwealth Bank Of Australia; Sydney; On-site; AUD 150,000 - 190,000; Full time

Job summary

Commonwealth Bank of Australia is seeking a Senior Data Scientist to deliver ML, GenAI and Agentic AI solutions that improve customer service experiences. The role combines hands-on modelling with strategic data governance and governance considerations across the data landscape.

You will partner with product, technology and business teams to move ideas from discovery to production, ensuring measurable value and robust monitoring and risk management.

Qualifications

• Hands-on data science experience in executing ML projects.
• Experience combining traditional ML with GenAI and Agentic AI.
• Ability to communicate complex ideas to senior stakeholders.

Responsibilities

• Design, build and productionise ML/GenAI/Agentic AI solutions solving business problems.
• Translate service and customer questions into predictive or agentic approaches.
• Shape GenAI opportunities across customer service journeys.
• Contribute to data science lifecycle: ideation, build, validation, deployment, monitoring and governance.
• Influence data governance, quality and risk considerations.

Skills

Python

SQL

MLOps

CI/CD

Model monitoring

Observability tools

Data governance

Stakeholder communication

Tools

GenAI tooling

Job description

Expression of Interest: Senior Data Scientist – ML, Gen AI

Do work that matters

At CommBank, we're investing in AI to create better customer experiences and meaningful value for the communities we serve. We welcome international talent who would love the experience of working in Australia. We encourage you to apply if you're open to diversifying your global experience and solving world-class AI problems across the Group in collaboration with our own AI Research Labs.

We operate with a fintech mindset as we grow our global footprint and build our people's careers, including a diversified culture of international Tech Hubs established in Seattle and San Francisco, USA, working alongside unique partnerships with OpenAI, Anthropic, AWS and Microsoft to accelerate safer AI outcomes for Australia. Join us to experience this first‑hand!

As a Senior Data Scientist, you’ll work on opportunities connected to the Customer Service Network, supporting branch and customer service experiences through traditional machine learning, GenAI and Agentic AI. You’ll be hands‑on with delivery, while also helping shape and influence strategic conversations around the data landscape, data quality, data risk and governance as well as identify where AI can transform and innovate.

See yourself in our team

This key role will focus on helping teams move from experimentation to production with greater speed, rigour and impact. We’re equipping data scientists with AI‑enabled tools and reusable assets that support feature engineering, model development, validation, deployment and monitoring.

In this role, you’ll partner with product, technology and business stakeholders to identify where machine learning, GenAI and Agentic solutions can automate, simplify and improve processes. You’ll bring strong technical judgement and the ability to explain complex ideas clearly to senior stakeholders.

You’ll do this by:

• Designing, building and productionising machine learning, GenAI and Agentic AI solutions that solve practical business problems.
• Translating branch and customer service challenges into clearly defined predictive, optimisation or Agentic solution approaches.
• Shaping GenAI and Agentic AI opportunities across customer service and branch‑related journeys.
• Translating complex business questions into well‑defined machine learning or Agentic solution approaches.
• Supporting the data science lifecycle, from ideation and discovery through model build, validation, deployment, monitoring and ongoing governance.
• Influencing the data landscape, data governance, data quality and data risk considerations.
• Helping define the data science strategy and technical capability required to support Customer Service Network priorities.
• Partnering with product, engineering, risk and business teams to assess opportunities, constraints, trade‑offs and expected value.

We’re interested in hearing from people who:

Have deep hands‑on data science experience and are excited by the opportunity to combine traditional machine learning with emerging GenAI and Agentic AI capability. You’ll be comfortable working with ambiguity, shaping solution options, and bringing others on the journey through clear communication and strong delivery discipline.

• Strong experience designing, developing and productionising machine learning models.
• Practical experience with GenAI, Agentic AI, AI tooling and coding agents.
• Hands‑on experience with Python, SQL, MLOps practices, version control, CI/CD, model monitoring or observability tools.
• Ability to work across discovery, model build, validation, deployment and monitoring.
• Understanding of data governance, data quality, data risk or broader data landscape considerations.
• Confidence explaining technical concepts and recommendations to senior business stakeholders.

Working with us

At CommBank, we foster a culture of inclusion and respect, celebrating diversity across cultures, abilities, capabilities, skills, global locations, 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. We are open to international talent that would love to experience working in Australia.

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Expression of Interest: Senior Data Scientist – ML, Gen AI • Sydney CBD, NSW, AU