Level

Commonwealth Bank of Australia

Join our Data Science & AI Talent Community at CommBank

AI in this role

openaianthropiclanggraphautogensemantic-kernel

Join our Data Science & AI Talent Community at CommBank

What is the Talent Community?

At CommBank, we’re always looking for people who put customers first and want to use data and AI to solve meaningful problems at scale. Our recruitment is ongoing and never closes — you can join our Data Science & AI Talent Community at any time, and we’ll connect you with relevant opportunities as they arise.

Roles are typically based in Sydney, Melbourne, Adelaide or Perth, depending on the team, and sit within our Data Science & AI practice across the Group. Opportunities commonly include Data Scientist, Senior Data Scientist, Chapter Lead/Senior Manager, Principal Data Scientist, Chief Data Scientists and Chapter Area Lead/Executive Manager roles.

As part of our teams, you’ll build commercial, enterprise‑grade AI solutions that improve productivity, strengthen decision‑making and deliver better customer experiences — while ensuring AI is used responsibly, ethically and at scale for the benefit of customers and the broader Australian community.
 

Global AI Leadership & Partnerships

At CommBank, you’ll work at the forefront of applied AI through strategic partnerships with OpenAI and Anthropic, alongside deep collaboration with the global technology ecosystem. Our Seattle Tech Hub embeds our teams with world‑class technology partners to accelerate capability and deliver real‑world generative and agentic AI solutions at scale. This leadership has been recognised globally, with CommBank ranked #4 worldwide in the 2025 Evident AI Index for AI maturity.

Who we’re looking for

At CommBank, our values of Care, Courage and Commitment guide everything we do – for our customers, our communities and each other. Within Data Science & AI, these values come to life through responsible use of data, ethical AI, and decisions that balance innovation with trust and impact.

We’re building a community of Data Scientists who share these values – people who combine deep technical expertise with strong commercial thinking, leadership capability and purpose. Whether you’re actively looking for your next role or planning a future move, we’d love to hear from people who:

  • Show care by putting customers and community at the heart of data‑driven solutions – acting with integrity, accountability and an ethical mindset focused on customer outcomes, colleagues and key stakeholders.

  • Demonstrate courage through curiosity and sound judgement – excited by tackling new and complex business problems in AI, evolving existing products and capabilities, challenging assumptions and positively influencing senior stakeholders through evidence‑based insight. This includes a strong, curiosity‑led approach to questioning, validating and solving problems using mathematics, statistics and models, and feeling empowered to share thought leadership and problem‑solving ideas in a growing environment that addresses real‑world challenges impacting millions of customers across Australia.

  • Live commitment by investing in continuous learning and craft excellence – bringing deep, hands‑on expertise in Artificial Intelligence and Large Language Models (LLMs), with a proven track record of designing, building and delivering end‑to‑end AI capabilities for business stakeholders. This includes strong practical experience implementing Generative AI and agentic and multi‑agent systems, using modern frameworks and tooling such as Semantic Kernel, AutoGen, LangGraph and the OpenAI Responses API, as well as applying a combination of commercial and technical AI models to deliver solutions that create strategic value.

  • Thrive in collaborative environments – working closely with product, engineering and business teams, curious enough to solve real‑world problems, and collaborative in how you design, test and scale AI solutions across the organisation.

  • Feel energised working autonomously and taking ownership – as a self‑motivated, driven leader of work who can effectively collaborate with, support and uplift teams of Data Scientists and AI specialists to deliver high‑quality, scalable outcomes.

  • Connect purpose with impact – contributing to and leading transformational AI initiatives that improve customer outcomes, build trust, and support CommBank’s role in Australia’s long‑term financial wellbeing.

What we offer

  • Flexible opportunities with balance and impact – Enjoy hybrid working that supports both your career and lifestyle, while delivering work that genuinely matters.

  • Deepen your expertise – Work with modern data and AI platforms, tools and frameworks, and tackle complex, high‑impact problems at enterprise scale.

  • Grow your career – Join a strong data science community with clear technical and leadership pathways, mentoring opportunities, and the ability to move across domains and roles.

  • Industry‑leading employee experiences, benefit packages and discounts

  • An inclusive workplace where everyone can thrive
    We welcome and encourage applications from Aboriginal and/or Torres Strait Islander peoples, supported by our dedicated Indigenous Careers Team. You’ll also have access to networks that celebrate diversity, foster belonging, and support accessibility requirements and workplace adjustments.

 

How the process works

  • Apply anytime - Apply using the link, tell us your availability and preferred locations.

  • Talent Acquisition review - If online assessments are successful, our recruitment team will review your experience and may connect with you to assess suitability for current and future Data Science opportunities at CommBank.

  • Talent Community membership - If successful, we’ll confirm your membership in our Talent Community for ongoing engagement for upcoming roles. As an active member, you can move quickly from expressing interest to interview, without needing to re‑apply.

  • Get matched - We’ll reach out when a suitable role opens.

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: 29/09/2026

How we score this

Join our Data Science & AI Talent Community at CommBank at Commonwealth Bank of Australia scores 9 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

OpenAIAnthropicLangGraphAutoGenSemantic Kernel

Questions you could be asked

  1. What's a project where you used OpenAI hands-on?
  2. Walk me through how you've used Anthropic in your day-to-day work.
  3. What are the limits of LangGraph that you've run into, and how did you work around them?
  4. What's a project where you used AutoGen hands-on?
  5. Walk me through how you've used Semantic Kernel in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: OpenAI, Anthropic, LangGraph, AutoGen, and Semantic Kernel. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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