Job Description

Senior Data Scientist andSenior Associate Data Scientist– Career Comeback Program2026

• You are ready tore-ignite yourData Science excellenceafter a career break

• Join our20-weekCareer Comeback program and gain access to a tailored induction program, personalised Career Coachingand,learning and developmentopportunities!

• We support flexible working (i.e. part-time, school hours) and have multiple positions available across varying teams
  

About the Career Comeback Program

Stepping back into your career after a break can feel daunting–that’sexactly what our Career Comeback Program is designed for.It’sa structured, supported pathway for experienced professionals returning to the workforce after an extended career break, offering wrap-around support to help you rebuild confidence, refreshskillsand set yourself up to thrive from day one.

As part of theProgram,you can expect

• Paid 20-weeksupport Program starting on Monday 27July 2026, withemployment on a permanent contract extending post-program

• A structured induction and re-onboarding experience to help you settle in quickly

• Personalised career coaching and mentoring for confidence,clarityand momentum

• Professionaldevelopment workshops designed to support your transition back to work

• A dedicated program manager and support network (e.g., buddy/alumni connection) to guide you throughout the program

If  you’ve taken a career break of two years or more, this is your opportunity to return to meaningful work with the structure, support and flexibility to help you thrive.You can read more about our Career ComebackProgram here  

Do work that matters

We have two roles available. The Senior Associate Data Scientist role within Chief AI Office(CAIO) and the Senior Data Scientist role is available within the Chief Operations Office(COO)

As CommBank accelerates its Gen AI ambition and customer experience uplift, we are strengthening our Technology Data Science capability, where advanced data science, software engineering and AI platforms come together. This is an opportunity to help shape Gen AI and machine learning capability at enterprise within Chief AI Office at scale and contribute to responsible, production-grade AI that serves millions of customers.

At the heart of the Chief OperationsCOO,we’rereimagining how we serve customers in operations through the power of transformative AI solutions. 

Ifyou’repassionate about shaping the future of AI,we’dlove you to lead with us!

See yourself in the team:

As a Senior Associate Data Scientist, you will work with highly diversified, cross-functional teams to solve real-world data and business problems using Data Science, Applied AI and Agentic AI methods, alongside innovative engineering techniques from computer science to drive data-driven decisions and customer outcomes. The Senior Associate Data Scientist role will join CDAO AI Capability team, where there isstrong supportfor experienced returners who bring solid prior data science capability and curiosity to keep learning in a fast-moving field. The team is looking for someone who can contribute hands-on while continuing to grow in modern enterprise AI and machine learning practices.

As aSeniorData Scientist reporting toaChapter Lead of Data Science in COO,you’llbe a hands-on technicaldata scientistworking inacross-functional squad with engineers and other experts to design and deliver innovative,responsibleand high impact AI solutions. You’llstay at the forefront ofemergingtechnologies, translating complex ideas into high-impact outcomes for our customers and colleagues.You’llcontribute toguidingthe teamon technically demanding problems across COO as AI continues to evolve.

In theserolesyou will

• Demonstrate subject-matterexpertisein data to enable fast and efficient sourcing,cleaningand preparation of large, complex data sets for model building and data science work.

• Understand and applyappropriate modellingand statistical techniques independently to solve business problems and support decision-making.

• Work with business and team members to propose,developand deliver data science solutions to real customer and operational challenges.

• Complete tasks associated with deploying,monitoringand running machine learning models in production as part ofMLOps, including version control, CI/CD pipelines, automation in deployment and retraining.

• Apply software engineering principles across the software development life cycle, including requirements analysis, design, coding,testingand maintenance.

• Partner effectively with engineers, product teams, platform specialists,riskand governance stakeholders to deliver safe,scalableand reliable AI outcomes.

• Communicate technical approaches,trade-offsand outcomes clearly to both technical and non-technical stakeholders.

• Contribute toa strong teamculture by sharing ideas, learningquicklyand supporting continuous uplift in capability.

We’reinterested in hearing from people whohave the following skills

We use a broad range of tools,languagesand frameworks, which means our data scientists are empowered to support a diverse group of customers and stakeholders. We do not expect you to know everything; depth in some areas and curiosity to learn others is key.

For Senior Data Scientist role, we would be keen to hear from people who have the breadth and scale of technical and leadership skills.

• Experience collaborating with software engineers and other data scientists to develop production-ready AI.

• Applied experimentation mindset to be familiar with the latest and most exciting patterns in AI, workshopnew ideaswith others and quicklydemonstratevalue of those ideas within a business and customer context.

• Are passionate and committed to returning to their data science profession after a career break.

• Bring prior experience in data science, predictive modelling, machine learning, deep learning,statisticsor a related discipline.

• Are excited by the opportunity to shape Gen AI and machine learning capability in a large enterprise environment.

• Enjoy solving complex problems with data, soundjudgementand practical delivery focus.

• Work well with diverse stakeholders and thrive in cross-functional teams.

• Are comfortable learning quickly in a field that continues to evolve.

• Value responsible AI, good engineeringpracticeand customer-focused outcomes.

Technical Skills and Tools:

• Generative AI:  Experience designing and deploying various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, skills, evals frameworks, and tools such as LangChain andLangGraph

• Machine LearningExpertisein the design and construction of machine learning models, including natural language processing, unsupervised clustering and classification algorithms including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of models into production environments.

• Cutting-EdgeAI Work on projectsleveragingtraditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future.LLM frameworks, NLP pipelines, machine learning modeldevelopmentand monitoring.Knowledge and practical exposure to experimental design,statisticsand measurement.

• Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub.

• Tooling Hands-on experience with data science tools such as Spark, Python, R, TensorFlow,PyTorch, and SQL.

• Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration.

• Deployment Familiar with Docker for containerization and deployment of applications.

• Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration,demonstratingexperience in deploying and managing cloud-based solutions.

• Educational backgroundA degree in Computer Science, Engineering, Mathematics,Statisticsor a similar discipline is beneficial.

Eligibility criteria for Career Comeback Program

If this sounds like you and you meet the essential criteria below, APPLY TODAY!

• Are currently on a career break of 2 years or more.  

• Have permanent Australian working rights at the time of application.

• Are based in Sydney at the time of application.

Working with us:

Whetheryou’repassionate about customer service, driven by data, or called by creativity, a career here is for you. At CommBank, we advocate andfacilitatea culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation. Read more about our commitment to inclusion and diversity on our career’s website.

Our people bring their diverse backgrounds and unique perspectives to build a respectful,inclusiveand flexible workplace. We are working hard to recruit people whorepresentthe diversity of our customers and our society. Ifyou'reexcited about this opportunity but youdon'tmeet every single requirement, or your experiencedoesn'talign perfectly, we still want to encourage you to send in your application. You may just be the perfect candidate for this opportunity or another within CommBank.

At CommBank we will inspire you with work that makes a difference, surround you with talented people that respect and value each other, and empower you to grow professionally and personally. Most of all, making a positive impact for customers, communities and each other is part of our every day.

We’redeterminedto make a real difference for Australia’s first peoples. We encourage all interested applicants to apply. Ifyou’realready part of the Commonwealth Bank Group (including BankWest),you’llneed to apply through Sidekick tosubmita valid application.We’rekeen to support you with the next step in your career.

APPLY NOW to do your best work and live your best life with us!

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: 29/05/2026