Chapter Lead - AI - Home Buying

CommBank; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

CommBank is seeking a Lead Data Scientist to guide the Home Buying AI initiatives within the Pricing Modelling squad. You will mentor a team of data scientists, deliver high-quality ML models, and collaborate with Pricing Strategy and Credit Risk to drive customer-centric outcomes.

The role requires deep statistical knowledge, experience in pricing or credit risk modelling, and strong communication with senior stakeholders. Proficiency in Python, R, Spark, and AWS tools is essential.

Qualifications

• Proven data science leadership with strong statistical and ML expertise.
• Experience in pricing modelling and/or credit risk modelling.
• Ability to translate complex data into actionable business insights.
• Cloud-based ML tools experience (AWS SageMaker, Bedrock) and stakeholder influence.

Responsibilities

• Lead and mentor junior data scientists to deliver modelling projects.
• Present solutions to senior business and non-technical stakeholders.
• Develop and manage key modelling assets with state-of-the-art techniques.
• Collaborate with Pricing Strategy and Credit Risk teams to enable business decisions.

Skills

Data science leadership

Mentoring

Stakeholder communication

Python

R

Spark

Teradata SQL

AWS SageMaker

AWS Bedrock

Education

Mathematics / Statistics / Econometrics / Computer Science / Engineering

Tools

Python

R

Spark

Teradata SQL

AWS SageMaker

AWS Bedrock

Job description

You are aLead Data Scientist with a passion for empowering people to reach their potential

We are undergoing one of Australia’s largest digital transformations

Together we can reimagine banking for millions of customers

See yourself in the team:

The RBS AI team is responsible for leading the delivery of world-class AI and Data Science capabilities to improve the financial well-being of our customers and communities.

The RBS AI Home Buying team within RBS supports the Home Buying business modelling needs through the development and maintenance of predictive models, creating insights to enable business decision making at a strategic and tactical level. These models help support E2E product performance of all the retail home loan products.

Do work that matters:

As a Chapter Lead, Home Buying AI within the Pricing Modelling squad you will lead a team to support the development and management of AI and Machine Learning for the business stakeholders who are serving Retail customers of the bank. This role involves leading and mentoring a team of data science and statistical modelling professionals to navigate the business and deliver high quality modelling solutions which help improve outcomes for our customers. You’ll work closely with key stakeholders, such as the Pricing & Credit Risk Portfolio teams, Finance, and Group to ensure modelling outcomes are accurate and are in alignment to the strategic direction of the business.

Role and Responsibilities:

You will be responsible for the development and management of key modelling assets within the team, with an objective to foster a team vision and approach that utilises state of the art data science and statistical techniques. You will be expected to drive higher quality/efficient use of data through continuous process improvements.

More specifically this will include:

• Lead, mentor and guide junior data scientists in the team to deliver projects and outcomes for the business. As well as leading and mentoring, you’ll be expected to make individual hands‑on contributions which help drive innovation for the team.
• Present solutions to senior business and non-technical stakeholders.
• Utilise data science and machine learning techniques in Python or R to drive model development to solve key business problems.
• Collaborate with key business areas, including Pricing Strategy and Credit Risk Strategy, to provide implementable modelling and AI solutions that drive customer experience, profitable growth and productivity.
• Work closely with colleagues in the broader Data Science community to create a centre of excellence.

We would like to hear from you if you have:

• Proven experience as aData Science leader with exceptional Statistical & Machine Learning knowledge with the ability to work in both theoretical and practical analysis space.
• Experience in the pricing modelling and/or credit risk modelling domains.
• Advanced technical skills - ability to generate actionable value-add insights by understanding complex data and using tools such as Python, R, Spark, Teradata SQL.
• Understanding of cloud-based data science tools, such as AWS Sagemaker and AWS Bedrock.
• Excellent written & verbal communication skills are required in this role to coordinate and influence senior cross-functional stakeholders and contribute to an empowered high performing team.
• A relevant tertiary qualification e.g. Mathematics, Statistics, Economics, Econometrics, Computer Science or Engineering.

Working with us:

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