Commonwealth Bank of Australia
Senior Data Scientist - People Intelligence, Agentic AI (Human Resources)
Commonwealth Bank of Australia is hiring a Senior Data Scientist - People Intelligence, Agentic AI (Human Resources). Level rates it ; you can apply on Commonwealth Bank of Australia.
Level's read on this job
- On Level's scale, this data scientist role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions MLOps and AI safety among its tools and skills.
- Level classes it as a senior role.
- Commonwealth Bank of Australia has 207 other open roles on Level.
- Posted in the last few days.
AI in this role
Senior Data Scientist - People Intelligence, Agentic AI (Human Resources)
- Apply Data Science, Machine Learning, Gen AI and Agentic AI to solve complex workforce challenges
- Partner with senior HR business leaders and enterprise-wide stakeholders to influence strategic decisions
- Join a team of AI builders with diverse backgrounds solving and scaling interesting AI solutions
See yourself in our team
People Intelligence sits within Human Resources and helps shape strategic workforce decisions across the Group, building and scaling largest personalized learning systems and career mobility platforms for thousands of employees, laying foundation for responsibly intelligent Agentic AI systems with human in the loop.
Our team combines Data Science, Advanced Analytics, Machine Learning, Gen AI and Agentic AI to deliver trusted insights and scalable solutions that help CommBank better understand its workforce readiness, anticipate future capability needs, quantify internal mobility and improve employee experiences.
Working closely with HR leaders and business stakeholders, we solve complex workforce challenges and support evidence-based decision-making that benefits our people, customers and communities.
Do work that matters
People are at the centre of CommBank's strategy. As organisations continue to adapt to advances in AI, automation and changing workforce needs, the ability to use data-driven insights to understand skills, capability and future workforce requirements have never been more important.
As a Senior Data Scientist, you'll help shape the future of work at CommBank by applying advanced analytics, machine learning and Generative AI to deliver meaningful workforce outcomes.
Your work will influence how we identify opportunities and risks, improve decision-making and build a future-ready, skills-focused and inclusive workforce.
Key responsibilities:
- Partner with HR, business leaders and Centres of Excellence to solve workforce challenges through data science, analytics and AI
- Design, build and deploy machine learning and Generative AI solutions that deliver measurable business value
- Analyse complex workforce datasets to uncover insights that support workforce planning, capability, employee experience, productivity and organisational effectiveness
- Translate complex analytical findings into clear recommendations and executive-ready insights
- Apply responsible AI, privacy and ethical data practices when working with sensitive people data
- Collaborate with data engineers, platform teams, risk, privacy and MLOps teams to deliver scalable and production-ready solutions
- Identify opportunities to embed analytics and AI into HR decision-making and self-service experiences
- Contribute to best practice frameworks, analytical assets and coding standards across the People Intelligence Chapter
- Coach and mentor team members while helping build AI and data science capability across the team
We're interested in hearing from people who:
- Have strong experience in building, productionizing and deploying solutions in applied Data science, Statistical modelling, Machine learning, Generative AI and Agentic AI.
- Are strong coders in Python, R, SQL alongside exposure to modern AI tools, delivery of cloud-based analytics, machine learning or AI solutions using AWS.
- Can work with large and complex, messy enterprise scale datasets and build robust, reusable assets and pipelines.
- Understand responsible AI principles, model explainability, privacy, ethical use of data to translate ambiguous business problems into practical data science solutions.
- Are confident communicating complex technical concepts and influencing both technical and non-technical stakeholders.
- Bring curiosity about the future of work, workforce transformation and the evolving role of AI trends in shaping employee experiences.
Working with us
We offer training, great technologies, smart colleagues, and development opportunities. We're a skills-focussed organisation and are primarily looking for someone with a growth mindset, and who can bring their own talents and experiences to the role and develop alongside this emerging team.
Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace. One where we're driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for employees, communities and each other is part of our every day.
APPLY NOW!
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: 16/11/2026How we rate this
Senior Data Scientist - People Intelligence, Agentic AI (Human Resources) at Commonwealth Bank of Australia rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $167k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: ML Ops and AI Safety. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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