Data Scientist- Home Buying

💰 $4,200 - $6,720 (Est.) 📍 Sydney

Job Description

You are a curious and creative individual with a genuine love for data science and how it can drive real world impacts.

You are excited to coach and nurture junior data scientists within the team.

You have strong skills in communicating highly technical concepts to non-technical audiences.

Do work that matters

As a Data Scientist within the Retail Bank AI team, you will develop and manage models to support the Home Buying business. You will work and collaborate with a team of other data science and statistical modelling professionals to deliver high-quality models with real world impacts to our customers, wherever they are on their Home Buying journey. You will work closely with key stakeholders to ensure that models are accurate and aligned with the strategic direction of the business.

See Yourself in the Team

Our team values collaboration, growth, and learning. We proactively share the latest ideas and innovations, and we are passionate about data and modelling. Together, we creatively solve a wide variety of challenges united by our passion to deliver what customers want in a rapidly changing world.

Role and Responsibilities:

Ideate, develop, monitor, and manage key modelling assets within the team to solve business problems by applying both simple and state-of-the-art modelling and statistical techniques independently, with guidance from senior team members.

Work effectively and collaboratively with the team, including coaching and nurturing junior data scientists.

Drive higher quality code and efficient use of data through continuous improvements.

Develop working relationships and collaborate with a diverse range of technical and non-technical stakeholders, including collaborating closely with colleagues in the broader AI and analytics community to create a centre of excellence.

What Sets Us Apart:

Cutting-Edge Tech Stack: We utilise technologies like Python, SQL, Hive, Spark, SageMaker, H2O.ai, GitHub and other cloud-based machine learning platforms to stay ahead of the curve.

Large Scale Impact: Our models and insights directly influence decisions that affect millions of customers in Australia, giving you the opportunity to see your work make a real-world difference.

Business-Focused Metrics: We measure our success not just in model accuracy, but in real business outcomes like customer acquisition, retention, and lifetime value.

Tech Skills:

We use a broad range of tools, languages, and frameworks including Python, SQL, Hive, Spark, SageMaker, H2O.ai, GitHub and other cloud-based machine learning platforms. We don’t expect you to know them all, but you must have advanced hands-on coding skills and the ability to write modular and optimised code in what you do know and the proven ability to pick up new tools quickly.

A minimum of 4 years of solid foundational experience delivering projects within Data Science, ML models, and AI within a financial services organisation or an equivalent large-scale environment.

GenAI curious with deeper-than-surface-level insights into GenAI models and hands-on project experience implementing them for personal or commercial projects.

Degree qualified in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, or Actuarial Studies.

About You:

You use a combination of commercial thinking and analytically driven results to formulate new and innovative ideas for the business.

You are driven and love to work with others to solve problems and provide the best possible solutions, both simple and complex, for your stakeholders.

You enjoy a collaborative team environment and want to help foster a positive and inclusive culture that promotes development and growth.

Apply Now: If this role sounds like you, apply now! We offer training, great technologies, smart colleagues, and development opportunities. We are a skills-focused organisation looking for someone with a growth mindset who can bring their talents and experiences to the role and develop alongside the team.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 +8+ 6+6.

Advertising End Date: 20/05/2026
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💡 Quick Summary

Seeking a career-building opportunity? The Data Scientist- Home Buying position is now open for candidates interested in the Bank Jobs sector. This role in Sydney offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.

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Job Details

Company Name: Commonwealth Bank

Frequently Asked Questions

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The expected salary for Data Scientist- Home Buying in Sydney is $4,200 - $6,720 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Data Scientist- Home Buying is an on-site position based in Sydney. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Data Scientist- Home Buying. Previous experience in Bank Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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