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About the Role

As a Principal Data Scientist reporting to the Chapter Area Lead of Data Science in COO, you’ll be a hands-on technical leader working in cross-functional squads with engineers and other experts to design and deliver innovative, responsible and high impact AI solutions. You’ll stay at the forefront of emerging technologies, fostering a culture of curiosity, inclusion, and continuous learning in the team, and translating complex ideas into high-impact outcomes for our customers and colleagues. You’ll contribute strongly to guide the team on technically demanding problems across COO as AI continues to evolve.

Responsibilities

Lead GenAI and Agentic system design and development, including prototyping, design, development, deployment, and monitoring.
Develop and implement Machine Learning Models, including prototyping, design, development, deployment, and monitoring.
Identify potential AI opportunities across COO for future focus.
Drive Continuous Improvement and Business Outcomes by working closely with operations teams to understand their experience, pioneering adoption and application of transformative AI and Gen AI capabilities.

Requirements

Ability to coordinate effectively across the COO Data Science community to unify efforts and drive collaborative outcomes.
Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group.
Intellectual curiosity and ability and willingness to learn, experiment and lead new to the world concepts.
Experience designing and deploying various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, skills, evals frameworks, and tools such as LangChain and LangGraph.
Expertise in the design and construction of machine learning models, including natural language processing, unsupervised clustering and classification algorithms including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of models into production environments.
Work on projects leveraging traditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future.
Experience with version control and CI/CD pipelines such as GitHub.
Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL.
Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration.
Familiar with Docker for containerization and deployment of applications.
Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions.

Skills

Generative AI
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Machine Learning
Natural Language Processing
Unsupervised Clustering
Classification Algorithms
Feature Engineering
Model Selection
Hyperparameter Tuning
Model Evaluation
Deployment
Traditional AI
Agentic AI
Version Control
CI/CD
GitHub
Spark
Python
R
TensorFlow
PyTorch
SQL
ETL Processes
Data Pipeline Construction
Docker
AWS Cloud Architecture
Azure Cloud Architecture

Location

Australia

Work Type

Flexible
Full-time

Experience Level

Principal
Lead

About the Company

At the heart of the Chief Operations Office, we’re reimagining how we serve customers in operations through the power of transformative AI solutions.
Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.