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About the 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.

Responsibilities

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.

Requirements

Strong foundations in statistical modelling, machine learning, Generative AI, and applied data science.
Confident using Python or R, SQL, and modern data science workflows to work with large and complex datasets.
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.
Ability to build robust, reusable, and well-documented data pipelines and analytical assets.
Understanding of responsible AI, privacy, explainability, and ethical use of people data.
Ability to translate ambiguous business questions into clear analytical approaches and practical solutions.
Strong storytelling skills to communicate complex findings to HR leaders, executives, and non-technical audiences.
Experience with BI and visualisation tools such as Tableau or Power BI.
Curiosity about the future of work, skills, workforce transformation, and the role of AI in shaping employee experiences.
Self-motivated, experimental, collaborative, and comfortable working in ambiguity.

Skills

Data Science
Machine Learning
Generative AI
Python
R
SQL
AWS
Tableau
Power BI

Location

Sydney
Melbourne

Work Type

Full-time

Experience Level

Senior

Benefits

Training
Great technologies
Smart colleagues
Development opportunities

About the Company

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.
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.
We offer training, great technologies, smart colleagues, and development opportunities. We're a skills-focussed organisation and are primarily looking for someone with a growth mindset, and who can bring their own talents and experiences to the role and develop alongside this emerging team.
Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for employees, communities and each other is part of our every day.