Senior Associate Data Scientist at Commonwealth Bank

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Machine Learning, Statistics, Modelling, LLM, Cloud Computing, MLOps, LLMOps, Generative AI, Prompt Engineering, Tool Orchestration, Structured Outputs, Agentic Workflows, AI-Assisted Software Development, Data Exploration

Industry

Financial Services

Description

Do work that matters: As a Senior Associate Data Scientist within Home Buying, you will assist in the development, implementation and management of AI Solutions and Machine Learning models supporting one of the largest Retail Banking divisions in Australia. You will work closely with data scientists, engineers and product partners to design, build and deploy data‑driven solutions that deliver meaningful customer and business outcomes. See yourself in the team: Our team values collaboration, growth, and learning. We proactively share the latest ideas and innovations, and we are passionate about data and modelling. Together, we creatively solve a wide variety of challenges united by our passion to deliver what customers want in a rapidly changing world. You will work closely with key stakeholders to ensure that AI systems are reliable, explainable and aligned with the strategic direction of the business. Your AI and Data Science perspective will be informed by your experience in the financial services or modern AI engineering environments. Responsibilities: Contribute to the collection, cleaning and pre-processing of complex data sets performing statistical analysis and data exploration from diverse sources to support AI and agentic applications Complete activities associated with developing, evaluating and operationalising models and AI systems as part of MLOps and LLMOps practices Design and integrate generative AI capabilities, include prompt engineering, tool orchestration and structured outputs, into production workflows Apply practical experience with cloud computing services to build, deploy and scale AI and agent-based solutions. Collaborate with cross-functional teams to understand business needs and propose intelligent, automation-driven solutions leveraging machine learning and generative AI. Key skills required: Experience working with Python, SQL and modern AI/ML engineering tooling Practical exposure to machine learning, statistics and modelling techniques, LLM and engineering knowledge Familiarity with cloud‑based environments and deploying AI-powered applications Understanding of MLOps concepts and AI‑powered data science workflows Hands-on experience with Generative AI use cases, agentic workflows or AI-assisted software development 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: 08/03/2026 Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. 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 customers, communities and each other is part of our every day. Here, you’ll thrive. You’ll be supported when faced with challenges, and empowered to tackle new opportunities. We really love working here, and we think you will too.

Responsibilities

The role involves assisting in the development, implementation, and management of AI solutions and Machine Learning models supporting the Home Buying division, requiring collaboration with various partners to deploy data-driven solutions. Key activities include contributing to data processing, statistical analysis, developing and operationalizing models using MLOps/LLMOps practices, and integrating generative AI capabilities into production workflows.