Data Scientist Senior Associate

Job Description

Organization: At CommBank, we never lose sight of the role we play in delivering a brighter future for our customers and supporting our communities. Our focus is to help customers and communities move forward to progress. To make the right financial decisions and achieve their dreams, targets and aspirations.Regardless of where you work within our organization, your initiative, talent, ideas and energy all contribute to the impact that we can make with our work. Together we can build tomorrows bank today.Job Title:Senior Associate Data ScientistLocation: Bengaluru, IndiaBusiness and Team: Financial Crime AI Team, COOImpact and Contribution: CommBank is redefining the future of banking through AI, data, and innovation. Were investing in modern technology, scalable platforms, and world-class talent to build smarter and safer customer experiences.Within the Financial Crime AI team, youll work on meaningful problems at scale - leveraging AI, machine learning, and advanced analytics to help combat fraud, scams, and financial crime. Youll have the opportunity to innovate, influence strategy, and deliver solutions with real customer impact.Roles & Responsibilities: Design, develop, and deploy scalable AI/ML models for Financial Crime use cases including AML, fraud, and scam detectionWork with large and complex datasets using Python and PySpark to build high-performance data and ML pipelinesBuild and optimise cloud-native AI solutions on AWSCollaborate with cross-functional teams including engineers, product owners, and risk stakeholders to solve complex business problemsTranslate business challenges into data-driven solutions and actionable insightsDrive experimentation, model evaluation, monitoring, and continuous improvement of AI solutionsContribute to best practices across responsible AI, model governance, software engineering, and M L Ops.Essential Skills:3 years of experience in Data Science, Machine Learning, or Applied AIStrong hands-on experience with Python, PySpark, SQL, and AWSExperience working with large-scale datasets and distributed data processing frameworksExperience building and deploying machine learning models in production environmentsStrong analytical, problem-solving, and stakeholder communication skillsExposure to Financial Crime, Fraud, AML, Risk, or Banking domains is highly regarded.Experience in building and shipping Generative and Agentic AI based systems.Education Qualifications:Bachelors, Masters or PhD in Statistics, Mathematics, Data Science, Computer Science, or related disciplines.If youre already part of the Commonwealth Bank Group (including Bankwest, x15ventures), youll need to apply through to submit a valid application. Were keen to support you with the next step in your career.Were 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 1hidden_mobile.Advertising End Date: 27/06/2026 Organization: At CommBank, we never lose sight of the role we play in delivering a brighter future for our customers and supporting our communities. Our focus is to help customers and communities move forward to progress. To make the right financial decisions and achieve their dreams, targets and aspirations.Regardless of where you work within our organization, your initiative, talent, ideas and energy all contribute to the impact that we can make with our work. Together we can build tomorrows bank today.Job Title:Senior Associate Data ScientistLocation: Bengaluru, IndiaBusiness and Team: Financial Crime AI Team, COOImpact and Contribution: CommBank is redefining the future of banking through AI, data, and innovation. Were investing in modern technology, scalable platforms, and world-class talent to build smarter and safer customer experiences.Within the Financial Crime AI team, youll work on meaningful problems at scale - leveraging AI, machine learning, and advanced analytics to help combat fraud, scams, and financial crime. Youll have the opportunity to innovate, influence strategy, and deliver solutions with real customer impact.Roles & Responsibilities: Design, develop, and deploy scalable AI/ML models for Financial Crime use cases including AML, fraud, and scam detectionWork with large and complex datasets using Python and PySpark to build high-performance data and ML pipelinesBuild and optimise cloud-native AI solutions on AWSCollaborate with cross-functional teams including engineers, product owners, and risk stakeholders to solve complex business problemsTranslate business challenges into data-driven solutions and actionable insightsDrive experimentation, model evaluation, monitoring, and continuous improvement of AI solutionsContribute to best practices across responsible AI, model governance, software engin

Keyskills :
PythonSQLAWSData ScienceMachine LearningFraud DetectionAMLPySpark