Senior Data Scientist - Ml & Genai

Commonwealth Bank Of Australia; Sydney; On-site; AUD 130,000 - 180,000; Full time

Job summary

Commonwealth Bank of Australia is seeking a Senior Data Scientist to advance ML, GenAI and Agentic AI capabilities across the Customer Service Network. You’ll deliver hands-on models at scale, influence data strategy, and shape the data landscape with a focus on governance, risk and responsible AI.

You’ll partner with product, technology and business to move from experimentation to production, ensuring robust monitoring, explainability and measurable impact on banking experiences.

Qualifications

• Deep hands-on data science experience with ML model development.
• Experience deploying GenAI and Agentic AI solutions at scale.
• Proficiency in Python, SQL, and MLOps practices.

Responsibilities

• Design, build and productionise ML, GenAI and Agentic AI solutions to solve business problems.
• Translate customer service challenges into predictive or Agentic solutions.
• Shape GenAI opportunities across customer service and branch journeys.
• Explain complex concepts clearly to senior stakeholders.
• Support data science lifecycle from ideation to deployment and governance.
• Influence data governance and data quality considerations.

Skills

Machine Learning

GenAI

Agentic AI

Python

SQL

MLOps

CI/CD

Model Monitoring

Tools

CI/CD

Model Monitoring Tools

Job description

Senior Data Scientist - ML & GenAI Commonwealth Bank of Australia•Sydney CBD, NSW, AU

• Shape customer service outcomes with advanced machine learning, GenAI and agentic AI
• Lead hands-on model delivery while influencing data strategy, data governance and the broader data landscape.
• Build AI solutions at CommBank scale, backed by ongoing investment in modern data, responsible AI and Agentic capability.

Do work that matters

CommBank is investing in modern, future-ready data and AI capabilities, including Agentic and GenAI at scale. Our ambition is to use AI safely and responsibly to help solve complex customer problems and improve banking experiences.

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.
• A curious, customer‑focused mindset and a practical approach to responsible AI delivery.
• Retail banking, branch network, customer‑facing or financial services experience would be beneficial but is not essential.

Working with us:

At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support please contact 1800 989 696.

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: 18/09/2026