Chapter Lead, Data Science – Fraud, Scams & Cyber

Commonwealth Bank

. Lead the design, development and implementation of machine learning, Generative AI and agentic AI solutions for strategic business and customer outcomes .

Posted 9/29/2026full-timeSydney • AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the design and implementation of machine learning and Generative AI solutions, with a strong foundation in statistics and hands-on experience in developing production AI systems. Proficient in collaborating with cross-functional teams and applying responsible AI practices in complex environments.

Highest-signal resume keywords

Machine Learning LeadershipGenerative AI DevelopmentAdvanced Python ProgrammingMLOps IntegrationStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AIStatistical MethodsLarge Language ModelsNatural Language ProcessingSQLDeep Learning FrameworksData Pipeline IntegrationModel GovernanceRisk Management

Soft Skills

Technical LeadershipCommunication SkillsCoachingCollaboration

Tools & Technologies

AWSAzureVersion ControlContinuous IntegrationContainerizationMonitoringObservability

Certifications & Qualifications

Tertiary Qualification in Data ScienceTertiary Qualification in StatisticsTertiary Qualification in Computer ScienceTertiary Qualification in EngineeringTertiary Qualification in Mathematics

Industry Keywords

Responsible AIFraud DetectionScams PreventionData ScienceAI Solutions

Tech Stack

Tools & technologies

AWSAzurePythonSQL

About the role

Key responsibilities & impact

Lead the design, development and implementation of machine learning, Generative AI and agentic AI solutions for strategic business and customer outcomes
Apply statistical methods and structured problem solving to complex fraud and scams challenges
Progress solutions from exploration and experimentation through evaluation, validation, deployment and ongoing monitoring
Design and develop Generative AI capabilities, including Retrieval-Augmented Generation, orchestration, guardrails and agentic AI systems
Identify opportunities to expand the effective and responsible use of data science, machine learning and AI across fraud and scams
Partner with product, engineering, platform, architecture, MLOps, risk and business stakeholders
Define problems, evaluate trade-offs and translate technical insights into action
Establish technical practices across data and feature engineering, model selection, evaluation, testing, documentation and production deployment
Lead and develop the chapter through coaching, knowledge sharing, technical guidance and collaboration

Requirements

What you’ll need

Proven experience leading teams or providing significant technical leadership across machine learning, Generative AI or agentic AI initiatives
Strong foundation in statistics, probability and machine learning
Hands-on experience designing, developing and evaluating production AI or machine learning solutions, including large language models, NLP or conversational AI
Advanced Python capability
Experience using SQL and relevant machine learning or deep learning frameworks
Experience integrating AI systems with data pipelines, services and enterprise platforms
Experience working with MLOps teams and production delivery practices
Practical knowledge of AWS or Azure, version control, continuous integration and delivery, containerization, monitoring and observability
Experience applying responsible AI, model governance, risk management and documentation requirements in a regulated or similarly complex environment
Strong written and verbal communication skills
Tertiary qualification in Data Science, Statistics, Computer Science, Engineering, Mathematics or a related discipline is beneficial

Benefits

Comp & perks

Flexible ways of working, with a balance between time in the office and remote work
Inclusion and respect across cultures, abilities, genders, gender expressions and sexual orientations
Support for Australia’s First Nations peoples
Accessibility support through HR Direct