Data Scientist, Gen AI

Commonwealth Bank; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

Commonwealth Bank in Sydney is seeking a Data Scientist in Retail Banking Services focusing on generative and agentic AI. You will build, validate and deploy AI solutions across digital and assisted channels to improve customer experiences and commercial outcomes, while raising engineering and modelling standards for safe, explainable and production-quality AI.

You will work across the model lifecycle, collaborating with engineering, product, design and governance teams to tackle complex

Qualifications

• A tertiary qualification in data science, statistics, computer science, engineering or another quantitative discipline, or equivalent demonstrated experience
• Strong Python and SQL skills
• Practical experience with large language model and agent frameworks, vector stores and cloud AI platforms
• Experience in prompt and context engineering, retrieval design and the systematic evaluation of non-deterministic systems
• Experience delivering generative AI or machine-learning solutions into production, ideally within a regulated environment
• Knowledge of responsible AI, privacy and model-risk controls, including safety testing and guardrails
• The ability to explain model behaviour, limitations and risks to technical, non-technical and governance audiences
• Experience working in agile, cross-functional teams with engineers, product owners and designers

Responsibilities

• Build and evaluate generative AI solutions, including retrieval-augmented generation, conversational assistants and colleague drafting tools
• Design agentic workflows that plan, use approved tools and complete multi-step tasks with appropriate permissions and human oversight
• Engineer prompts, system instructions and retrieval pipelines to improve grounding and response quality
• Create evaluation harnesses and golden datasets covering groundedness, accuracy, task completion, latency and cost
• Select and tune models for different use cases, balancing quality, cost, latency and data-residency requirements
• Apply responsible AI controls, including hallucination mitigation, prompt-injection testing, personal-information handling and risk-review evidence
• Work with engineering colleagues to deploy and monitor solutions, including guardrails, telemetry and drift detection

Skills

Python

SQL

LLM frameworks

Agent frameworks

Vector stores

Cloud AI platforms

Prompt engineering

Explain model behaviour

Agile cross-functional teamwork

Education

Tertiary qualification in data science or related quantitative field

Tools

Vector stores

Cloud AI platforms

LLM frameworks

Retrieval systems

Job description

• Build production-ready generative and agentic AI solutions that improve customer experiences
• Solve complex technical challenges using modern AI models, retrieval systems and evaluation methods
• Help shape the safe, responsible and scalable use of AI across CommBank

Do Work That Matters

Join Retail Banking Services, the team at the heart of how CommBank serves Australia. The business supports more than 10 million personal and small business customers through market-leading products, services and digital experiences. You’ll help create solutions that positively affect customers’ lives while contributing to the future of digital banking.

As a Data Scientist in RBS Customer Digital and AI, you’ll build, validate and deploy generative AI and agentic AI solutions across our digital and assisted channels. Your work will improve customer experiences and commercial outcomes while strengthening the engineering and modelling standards that enable safe, explainable and production-quality AI.

You’ll join at an exciting point in CommBank’s technology journey. The Group is focused on adopting agentic and generative AI at scale, supported by secure foundations, responsible AI controls and collaboration between people and AI agents.

See yourself in our team

In this role, you will:

• Build and evaluate generative AI solutions, including retrieval-augmented generation, conversational assistants and colleague drafting tools
• Design agentic workflows that plan, use approved tools and complete multi-step tasks with appropriate permissions and human oversight
• Engineer prompts, system instructions and retrieval pipelines to improve grounding and response quality
• Create evaluation harnesses and golden datasets covering groundedness, accuracy, task completion, latency and cost
• Select and tune models for different use cases, balancing quality, cost, latency and data-residency requirements
• Apply responsible AI controls, including hallucination mitigation, prompt-injection testing, personal-information handling and risk-review evidence
• Work with engineering colleagues to deploy and monitor solutions, including guardrails, telemetry and drift detection

You’ll work across the model lifecycle, moving ideas from experimentation into production with rigour and measurable impact. CommBank’s Data Science Practice supports this through AI-enabled tools and reusable assets spanning feature engineering, model development, validation, monitoring and responsible AI guardrails.

We’re interested in hearing from people who:

Bring hands-on data science expertise and enjoy turning emerging AI capabilities into reliable solutions. You’ll be comfortable combining deep technical work with clear communication, sound judgement and collaboration across engineering, product, design and governance teams.

You will have:

• A tertiary qualification in data science, statistics, computer science, engineering or another quantitative discipline, or equivalent demonstrated experience
• Strong Python and SQL skills
• Practical experience with large language model and agent frameworks, vector stores and cloud AI platforms
• Experience in prompt and context engineering, retrieval design and the systematic evaluation of non-deterministic systems
• Experience delivering generative AI or machine-learning solutions into production, ideally within a regulated environment
• Knowledge of responsible AI, privacy and model-risk controls, including safety testing and guardrails
• The ability to explain model behaviour, limitations and risks to technical, non-technical and governance audiences
• Experience working in agile, cross-functional teams with engineers, product owners and designers

Bring your curiosity and technical ambition to help shape what responsible, customer-focused AI can achieve.

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 ***.

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