Senior Data Scientist

Narooma; Sydney; A distancia; AUD 180.000 - 260.000; Jornada completa

Descripción de la vacante

CommBank is pursuing world-class AI capabilities within Retail Banking Services. You will design and deploy GenAI and agentic AI systems, drive the adoption of advanced AI across RBS, and work to improve customer experiences and operational efficiency.

You will lead the redevelopment of machine learning models, broaden data science usage across banking activities, and collaborate with stakeholders to deliver measurable business outcomes and continuous improvement.

Formación

• Experience designing GenAI and chatbot/LLM solutions for business use cases.
• Strong foundations in statistics and probability with model interpretation skills.
• Proficiency in Python and AI/ML model development.
• Excellent communication for documentation and stakeholder engagement.

Responsabilidades

• GenAI and Agentic system design and development across RBS to expand offerings.
• Lead overhaul of machine learning models to drive business outcomes.
• Expand data/AI science usage across banking activities and teams.
• Pioneer adoption of cutting-edge AI capabilities with stakeholders.

Conocimientos

GenAI

Agentic AI

Python

Statistics

Communication

LLMs

LangChain

LangGraph

Pydantic AI

Spark

TensorFlow

PyTorch

SQL

Docker

AWS / Azure

Educación

Tertiary qualification in Data Science, Statistics, Computer Science, or related field

Herramientas

LangGraph

pydantic_ai

LangChain

Spark

TensorFlow

PyTorch

SQL

Docker

AWS

Azure

Descripción del empleo

See yourself in our team:

At CBA we have an ambitious goal of leading the way in changing the world through AI. With great buy-in from all senior leadership, we have embarked on world first initiatives to deliver exceptional experiences to our customers. In Retail Banking Services (RBS), as the largest and customer facing part of the bank, we play a unique role in bringing this vision to life and build a brighter future for all Australians.

The opportunity:

Reporting to the AI Domain Lead, you will deliver high priority initiatives across RBS. You will work on the delivery of world-class AI capabilities across RBS that will also build capabilities for the rest of CBA. You will be responsible for cutting edge initiatives in Agentic AI, GenAI, and broader AI. Our strategic focus lies in delighting our customers at every touchpoint, offering outstanding service, and meet the needs of our customers.

Why CommBank?

CommBank is leading the world of banking by venturing into new-to-the-world innovations. We're on the cutting edge, embracing AI technologies to reshape how we operate and serve our customers.

Key Responsibilities:

• GenAI and Agentic system design and development: Drive the expansion and adoption of Generative AI solutions across RBS, optimising our product offerings through design and implementation of advanced Gen AI capabilities and agentic AI systems.
• Develop and implement Machine Learning Models: Lead the overhaul of various machine learning models, enabling to drive strategic business outcome for various stakeholders.
• Expand Data/AI Science Usage: Identify AI opportunities and embed these methodologies into a broader range of activities across the banking landscape
• Drive Continuous Improvement and Business Outcomes: work closely with business stakeholder to pioneer adoption and application of cutting edge AI and Gen AI capabilities and paving the path for how the bank will operate to towards the vision of re-imagined banking and customer service.

We’re interested in hearing from people with the following skills:

• Proven experience in Gen AI, chatbot development, and LLMs.
• Strong foundation in statistics and probability; able to interpret models.
• Proficiency in Python and experience with AI/ML model development.
• Excellent communication skills for documentation and stakeholder engagement.
• Tertiary qualification in Data Science, Statistics, Computer Science, or a related field.

Technical Skills and Tools:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team.

• Cutting-Edge AI: 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.
• Agentic AI: Experience designing and building autonomous or semi-autonomous agent systems — including intent/task orchestration, tool use, multi-step decision-making, and guardrails — using frameworks such as LangGraph, pydantic_ai, or equivalents.
• Generative AI: Familiarity with various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, and tools such as LangChain and LangGraph.
• Machine Learning: Expertise in the design and construction of machine learning models, including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of predictive models into production environments.
• Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub.
• Tooling: Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL.
• Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration.
• Deployment: Familiar with Docker for containerization and deployment of applications.
• Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions.

Working with us:

At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples