Associate Data Scientist

Role Overview

Join Westpac’s Data, Digital and AI (DDAI) community and build practical data science capability on work that matters. You’ll help turn complex data into insight, test ideas responsibly, and contribute to solutions that improve customer experience, strengthen decision-making and support better operational outcomes across a large, regulated enterprise.

What You Will Do

Use Python and SQL to clean, explore and analyse structured or unstructured data, then turn findings into clear recommendations that business and technology teams can understand and act on. Create reproducible exploratory analysis, features, visualisations and baseline models. Contribute to experiments involving machine learning, forecasting, optimisation, NLP or GenAI where appropriate.

Why It Might Be a Fit

We value practical evidence, curiosity, learning agility and the ability to keep growing in a supportive team environment. Experience working in a corporate, financial services, consulting, technology or similarly complex environment will be highly regarded, particularly where you have had to balance technical delivery with stakeholder expectations, governance, risk, privacy or operational constraints.

Requirements

• Experience working in a corporate, financial services, consulting, technology or similarly complex environment
• Use Python and SQL to clean, explore and analyse structured or unstructured data
• Create reproducible exploratory analysis, features, visualisations and baseline models
• Contribute to experiments involving machine learning, forecasting, optimisation, NLP or GenAI where appropriate
• Use version control and team delivery practices to make work reviewable and reusable
• Partner with engineers to understand deployment, APIs, pipelines, monitoring and support requirements
• Present findings simply, ask good questions, adapt quickly to feedback and build credibility with stakeholders by explaining technical work in plain language
• Handle data with care and follow privacy, security, responsible AI and model risk requirements, recognising that good data science in a corporate environment must be explainable, ethical, secure and trusted

Benefits

• Excellent Career Development Platform
• Hybrid Working Model
• Supportive and inclusive community
• Additional support for veterans, Indigenous Australians, and neurodiverse community
• Adjustments for people with disability and/or needing accessibility requirements