• Sydney, Melbourne, Brisbane or Perth location
• Hybrid working arrangement
  

Create better futures with the responsible use of GenAI

Join Westpac’s centralised Data, Digital & AI ( DDAI ) team and work hands-on with Generative AI and advanced machine learning to deliver real impact for customers and colleagues across the bank.

In this role, you’ll design, build, and deploy production-grade AI solutions end to end, working on meaningful business problems and seeing your work used at scale. You’ll collaborate closely with engineers, data scientists, and business stakeholders, applying modern data science techniques in a way that is practical, responsible, and customer focused.

If you’re a hands-on Data Scientist who enjoys building real solutions, learning fast, and contributing to how GenAI is applied safely and effectively in banking, this role offers the opportunity to make a genuine impact.

What’s the role?

We’re looking for a Data Scientist to join our AI Services team, where you’ll contribute directly to the delivery of machine learning and Generative AI solutions aligned to the bank’s strategic priorities.

You’ll work end to end on real business problems—helping translate ambiguous questions into analytical approaches, developing models and GenAI applications, and supporting deployment into production. You’ll apply strong technical skills while continuing to build depth across modelling, engineering collaboration, and responsible AI practices.

This role provides exposure to complex, high-impact use cases across the bank and the opportunity to grow your capability by working alongside experienced data scientists, engineers, and platform teams.

What do I need?

• 3 to 5 years of industry experience developing and deploying machine learning or data science solutions, with exposure to production environments.
• Hands-on experience applying Generative AI and Large Language Models (LLMs) to real-world problems, or strong interest and demonstrated capability in this area.
• Solid understanding of modern machine learning techniques, with exposure to deep learning and generative models considered an advantage.
• Practical experience developing models using frameworks such as TensorFlow, PyTorch, or Keras.
• Experience in one or more applied AI domains, such as: Natural Language Processing (NLP), LLMs and Generative AI, Text analytics and information extraction, or Computer vision or multimodal AI.
• Experience building or experimenting with GenAI frameworks such as LlamaIndex, LangChain, AutoGen, DSPy, or similar.
• Strong Python programming skills, with the ability to write clean, readable, and testable code.
• Experience working with cloud platforms such as Azure or AWS, including running models or data pipelines in cloud environments.
• Curiosity, strong problem-solving skills, and a commitment to ethical and responsible AI.

How will I help?

As a Data Scientist, you’ll help deliver high-quality, customer-centric AI outcomes through hands-on analysis, modelling, and experimentation and work with business partners to understand problems, explore data, and develop ML or GenAI solutions that create measurable value. You’ll support the translation of insights into action, helping teams adopt AI responsibly and effectively.

Additionally, you’ll also contribute to improving data science practices by sharing learnings, reusing patterns, and continuously developing your technical and domain expertise.

What you’ll be doing

• Build, test, and support the deployment of machine learning and GenAI solutions, including LLM-powered applications.
• Contribute to end-to-end data science work—from problem definition and data exploration to model development and validation.
• Work closely with engineers and platform teams to ensure solutions are scalable, secure, and production-ready.
• Analyse data and model performance, iterate on solutions, and incorporate feedback to improve outcomes.
• Communicate insights and results clearly to both technical and non-technical stakeholders.
• Follow and contribute to best practices for responsible, explainable, and maintainable AI.
• Learn from more experienced team members while progressively taking ownership of larger or more complex workstreams.
• Stay up to date with emerging techniques and tools in data science and GenAI, sharing learnings with the team.

Create your future today