Data Scientist

Commonwealth Bank of Australia is the largest and number one bank in Australia, serving over 17 million customers. We maintain a high-trust brand reputation built on financial strength, innovation, and community impact. As of July 2025, CBA holds market cap of approximately USD 195.7 billion, ranking us among the top 100 most valuable companies globally. Our leadership in digital banking, customer safety, and responsible AI reflects our commitment to building a brighter future for all. Our values are reflected in our high-trust brand reputation. CBA is consistently ranked among Australia’s most valuable and trusted brands. Our Code of Conduct Our Code of Conduct includes our Values, with ‘Must We’, ‘Can We’ and ‘Should We?’ tests, and key Group Policieswith the outcomeswe expect. It guides our decision making so we can do what’s right in every situation. Our Code sets clear boundaries for actions that are unethical and providesa roadmap for gettinghelp when we run into unanticipated challenges. CBA India: A Strategic Growth Engine CBA India is critical to our ability to deliver our strategy of building tomorrow’s bank today. Since its inception, CBA India has evolved into the Bank’s global capability powerhouse. From a modest start in 2018–19 with ~100 employees, we’ve grown to over 6,000+ professionals , with two-thirds in technology roles. Our culture is built on accountability and inclusivity, where every team member feels valued and empowered. Together, we are building the bank's global expertise on a scale, creating a dynamic and supportive community where your potential is nurtured, and your career aspirations are realized. CBA India, headquartered in Bangalore, India, is a Captive Global capacity Centre (GCC) for its Australian Parent entity ‘Commonwealth Bank of Australia’ (‘CBA’) the leading Bank of Australia. CBA India acts as an extension of CBA, by providing Information Technology and Information Technology enablement’s services along with Operational assistance. CBA India: Our Teams We’re a team of talented technology and banking operations experts, working together to deliver cutting-edge, innovative and exceptional experiences for our customers. Chief Operations Office Chief Operations Office is the heartbeat of the bank, where we reimagine banking operations and customer excellence. We work across operational disciplines, including the financial crime lifecycle, which includes investigations, payment monitoring and customer due diligence. With a strong foundation in place, our footprint in India also includes Business, Institutional and Market Operations to strengthen support for Business Banking and Institutional clients. Our Retail Operations team oversees customer experiences in both secured and unsecured product categories, managing the entire loan process from credit decisioning to settlement for CBA and Bankwest brands. Our customer service team provides round-the-clock support through messaging channels, ensuring seamless client engagement. We are experts at crafting credit risk models and validating credit, AI and market models. Technology Our Technology team is building tomorrow’s bank today. Our team of global best technologists harness the rapid acceleration of technology to create resilient, reliable banking experiences that make a real difference for customers. This requires the brightest minds in AI, data and cyber security. Technology is the driving force in redefining how customers bank. Chief Data & Analytics Office Ranked among the top five banks worldwide for AI maturity and #1 in APAC in the 2024 Evident AI Index, we’re reimagining banking for our customers with AI-powered solutions and responsible AI for safer, more personalised experiences. Our Data and Analytics team, the guardians of the bank’s data, leverage billions of data points empowering us to make smarter business decisions and gain deeper customer insights. We manage the delivery of personalised Next Best Conversations to our 17 million customers through our customer engagement platform, which runs over 2000+ machine learning models and processes over 150 billion data points. We’ve led the development of CommBank Yello, the largest customer loyalty program in Australia, showcasing our commitment to innovation and customer engagement. Made up of some of the finest AI experts, data scientists, and data engineers, the team collaborates with leading universities and partners like Microsoft and H2O.ai to pioneer advanced technologies like Gen AI for transformative banking applications. Enabling Functions Our Enabling Functions are the engine of CBA India, empowering our people to thrive in their roles and deliver the best experiences for our customers. These include Human Resources; Chief Controls Office; Chief Operating Office; Group Audit and Assurance; Finance. Progressive Tech Transformation: Global Partnerships & Recognition CBA’s technology strategy is anchored in responsible AI, cloud-first architecture, and global collaboration. We’re reimagining banking with strategic partnerships & investments in AI. Our continuous investment in tech and responsible AI allows us to outsmart scams, crush fraud, and revolutionize customer experience, every single day. Partnership with Anthropic: Leveraging their AI safety expertise to enhance customer experience and internal innovation. Seattle Tech Hub: A global innovation centre enabling immersive learning and co-creation with global tech leaders. Apate.ai Collaboration: Deploying AI-powered bots to combat fraud in real time. Rising 2025 Partnership: Showcasing our AI journey at India’s largest Women in Tech summit, reaching over 1 million. Recognitions Ranked #1 in APAC and Top 5 globally for AI maturity by Evident AI Index 2024. Ranked #1 Bank in Australia for customer safety by Global Finance. Ranked #1 for Digital Banking in Australia by Canstar, for the 15th consecutive year Ranked #2 on LinkedIn’s 2025 Top Companies list Microsoft named ChatIT- our generative AI-powered IT assistant- in their list of “50 AI Innovators” Recognised by Analytics India Magazine (AIM), India’s foremost forums for Tech and AI, as one of the Best Firms for Diversity & Inclusion in Tech in India ET Edge honoured us as one of the Impactful Global Capability Centers of India for 2025 Recognised as one of Top 20 Firms for Women in Tech in India by AIM Your role and impact Your reporting lines 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. Chapter Lead – AI GMV Team Your Team 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. 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. Your skills and experience 3 to 6 years of experience in the financial services and/or technology sector, or relevant experience in research. 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. Any 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. Your 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. Education qualification Bachelor’s degree/Master’s degree/Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Physics.