Commonwealth Bank102 followers129 jobs

Chapter Lead, Data Science (Operations)

SeniorFull-timeHybridSydney NSW, AustraliaPosted 1 day agoVerified 1 day ago
Pending fitX of Y criteria met

About the job

This job is an exciting opportunity to lead AI innovation at scale within a dynamic team at the heart of the Chief Operations Office. As a Chapter Lead, you will inspire and guide a talented group of data scientists while collaborating with engineers to create transformative AI solutions. The team values curiosity, inclusion, and continuous learning, making it a fantastic environment for those passionate about shaping the future of AI.

Meet the team

About the company

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You'll be responsible for

✨

Leading AI innovation

Driving the design, construction and deployment of a range of AI projects, while accelerating adoption of advanced AI capabilities.
📈

Expanding Data & AI impact across the bank

Identifying high-value AI use cases and championing the integration of Data Science methods across processes, ensuring models follow best-practice engineering, governance, and deployment standards.
🔄

Driving continuous improvement & business value through AI

Partnering closely with operations teams to understand challenges and apply transformative AI capabilities, while driving redevelopment, optimisation and monitoring of AI models to support strategic business outcomes.

Key criteria

🚀

AI project leadership experience

Demonstrated experience leading AI project design and deployment.

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📊

Data science expertise

Proven ability to design AI solutions using structured and unstructured data.

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🤖

Generative AI solutions

Hands-on experience building and deploying Generative AI systems.

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A meaningful career starts with a match

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5 criteria for this job
AI project leadership experience
Demonstrated experience leading AI project design and deployment.

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Data science expertise
Proven ability to design AI solutions using structured and unstructured data.

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Generative AI solutions
Hands-on experience building and deploying Generative AI systems.

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MLOps proficiency
Experience taking AI models from prototype to production.

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Cloud platform experience
Experience deploying AI solutions on AWS or Azure.

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