Data Scientist (AI & General Model Validation)

Commonwealth Bank; Council of the City of Sydney; Hybrid; AUD 80,000 - 120,000; Full time

Job summary

A leading Australian financial institution is seeking a Data Scientist for AI & General Model Validation. This permanent full-time role involves robust model validation and collaboration with a quantitative team to ensure model performance and compliance. Ideal candidates will have strong experience in predictive modelling and programming skills in Python, R, and SQL. Join us to shape the future of risk management and technology in a flexible, inclusive workplace.

Benefits

Flexible working options

Inclusive culture

Support for accessibility

Qualifications

• Demonstrated experience working with predictive modelling, Gen‑AI, and/or software engineering.
• Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and PyTorch.
• Ability to solve technical problems and execute validation tasks independently.
• Excellent communication skills, with the ability to translate complex technical concepts.
• Relevant experience with Gen‑AI techniques like RAG, prompt engineering, and/or orchestration tools.
• Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.

Responsibilities

• Apply problem-solving skills to assess model performance, compliance, and risks.
• Code in Python to establish evaluation pipelines for AI/Gen-AI models.
• Establish strong professional relationships with model developers and business units.
• Develop AI-driven tools to enhance model development/validation quality.

Skills

Predictive modelling

Python

R

SQL

Spark

TensorFlow

PyTorch

GitHub

Communication skills

Gen-AI techniques

Education

Degree in Statistics, Data Science, Computer Science, Actuarial Science, or related field

Tools

AWS SageMaker

AWS Bedrock

H2O.ai

Job description

Overview

Do Work That Matters:

Are you ready to shape the future of model risk management in one of Australia’s leading financial institutions? At CommBank, we’re looking for a Data Scientist, AI & General Model Validation who applies deep technical expertise to ensure our models are robust, reliable, and ready for the future.

This will be a Permanent Full Time Opportunity.

See yourself in our team: As a key member of our Model Risk & Validation team, you’ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, collaborating to uphold the integrity of our model risk framework while influencing the Group’s broader AI and transformation strategies.

Responsibilities

• Model Validation – Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks.
• AI Evaluation Pipelines – Code in Python or equivalent programming languages to establish evaluation pipelines for AI/Gen‑AI models in a CI/CD environment
• Stakeholder Engagement – Establish strong professional relationships with model developers, business units, to ensure transparency and alignment.
• Continuous Improvement – Develop and integrate AI-driven tools to enhance model development/validation quality and speed.

Qualifications

• Demonstrated experience working with predictive modelling, Gen‑AI, and/or software engineering
• Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and PyTorch; familiarity with version control (GitHub)
• Ability to solve technical problems and execute validation tasks independently
• Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.
• Relevant experience with Gen‑AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., LangChain, LangGraph) would be highly preferred
• Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.
• Degree qualified in Statistics, Data Science, Computer Science, Actuarial Science, or a related field – or equivalent industry experience.

Why Join Us?

At CBA, our Model Risk & Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank.

Working with Us

At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation. 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.

We’re committed to being an accessible employer and want to make finding your dream job as easy as possible. If you experience any accessibility issues or if you require additional support, please contact HR Direct. We support our people with the flexibility to balance where work is done with a hybrid approach of at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We’re hiring talent from across all of Australia and have opened technology hubs in Melbourne and Perth. We really love working here, and we think you will too.

Apply now to live your best life by doing your best work 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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