Senior Data Scientist, People Analytics

About the role

Senior Data Scientist, People Analytics (Human Resources) **Multiple Roles** **Sydney/Melbourne location** Help shape the future of workforce at CommBank through data, AI and analytics You are an inquisitive and experienced data science professional with a genuine passion for solving complex workforce problems through data, analytics, machine learning and AI We are a value-driven team of analytical experts who use data science, advanced analytics and emerging technologies to generate trusted insights, deliver scalable solutions and enhance employee experiences. Together, we harness analytics, Generative AI, machine learning and human-centred thinking to help CBA better understand its workforce, anticipate future capability needs and make evidence-based decisions that support our people, customers and communities. Do work that matters: People are central to the Group's strategy. Human Resources partners with our Business Units to build a vibrant, customer-focused and high-integrity culture, supporting our people across every stage of the employee lifecycle - from talent acquisition, leadership development and learning, through to internal mobility, employee relations, remuneration and benefits. As the nature of work continues to evolve, advances in AI, automation, digital transformation and skills-based workforce planning are reshaping how organisations think about capability, productivity, employee experience and workforce resilience. At CBA, People Analytics helps leaders understand these shifts, anticipate future workforce needs and make informed decisions that support our people, customers and communities. In this role As a Senior Data Scientist in the People Analytics Chapter, you will apply data science, machine learning and Generative AI to solve complex workforce challenges. You will partner with HR and business stakeholders to turn people data into trusted insights, scalable AI-enabled solutions and practical recommendations. You will design, build and support responsible AI and ML solutions that are explainable, scalable and aligned to business outcomes. Your work will help identify workforce opportunities and risks, improve decision-making and support the Group's ambition to build a future-ready, skills-focused and inclusive workforce. K ey responsibilities include Partner with HR, business leaders, and Centres of Excellence to identify workforce challenges and translate them into high-value analytical, ML, and GenAI opportunities. Develop data science and AI solutions that support future workforce priorities, including skills, capability, workforce planning, employee experience, mobility, productivity, and organisational effectiveness. Build, evaluate, and deploy GenAI/ML models using appropriate statistical methods, performance metrics, and responsible AI practices. Identify opportunities to embed AI and advanced analytics into HR processes, decision-making, and self-service insight experiences. Analyse large and complex workforce datasets, applying robust data preparation, feature engineering, modelling, validation, and interpretation techniques. Translate complex analytical outputs into clear narratives, dashboards, recommendations, and executive-ready insights. Collaborate with data engineers, platform teams, risk, privacy, and MLOps teams to ensure solutions are scalable, secure, well-governed, and fit for production. Apply ethical, privacy-aware, and explainable AI practices when working with sensitive people data. Contribute to reusable analytical assets, frameworks, coding standards, and knowledge-sharing across the People Analytics Chapter. Coach and mentor team members, helping uplift data science, GenAI, and AI literacy across the chapter. We're interested in hearing from people who: Have strong foundations in statistical modelling, machine learning, Generative AI, and applied data science. Are confident using Python or R, SQL, and modern data science workflows to work with large and complex datasets. Have experience designing and delivering cloud-based data science, ML or GenAI solutions using AWS services, with an understanding of scalable architecture, security, governance and production deployment considerations. C an build robust, reusable, and well-documented data pipelines and analytical assets. Understand the importance of responsible AI, privacy, explainability, and ethical use of people data. Can translate ambiguous business questions into clear analytical approaches and practical solutions. Are strong storytellers who can communicate complex findings to HR leaders, executives, and non-technical audiences. Have experience with BI and visualisation tools such as Tableau or Power BI. Bring curiosity about the future of work, skills, workforce transformation, and the role of AI in shaping employee experiences. Are self-motivated, experimental, collaborative, and comfortable working in ambiguity. Working with us We offer training, great technolo

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