Data Scientist

Posted 9 Days Ago
Be an Early Applicant
NSW
Mid level
Fintech • Financial Services
The Role
As a Data Scientist, you'll leverage advanced techniques in Python or R to support the Home Buying growth and acquisition modeling. You will develop and monitor models that address key business problems in credit risk and marketing, working collaboratively in a cross-functional environment to drive innovation and impact for millions of customers.
Summary Generated by Built In
  • You are passionate about leveraging cutting-edge Data Science to drive growth and innovation

  • Join a dynamic team that's continuously pushing the boundaries of growth marketing

  • Your work will directly impact our largest retail portfolio and millions of customers

Do work that matters

Working within Home Buying growth and acquisition modelling supporting the Search & Find squad you will use your technical knowledge and understanding of business domain to deliver complex modelling projects.

As a community, our data scientists have diverse backgrounds and industry experience, with state-of-the-art machine learning research and development expertise, and in-depth knowledge of structured and unstructured data in the Bank.

See yourself in our team

Home Buying AI & Decision Science chapter area provides innovative driving data-driven decisions that propel us to new heights in the fintech world. We're a diverse group of data scientists and modelling specialists united by our passion to deliver what customers want in a rapidly changing world.

Key Responsibilities:

  • Supporting the Chapter Lead in Home Buying Modelling, in providing analytical and modelling support for the development and monitoring of models for RBS Home Buying Business

  • Utilise data science and modelling techniques in Python or R to drive model development to solve key business problems for the Home Buying portfolio.

  • Develop and enhance the application, behavioural models and operational models across credit risk, pricing, marketing and operations to create and drive value for the Home Buying business

What sets us apart:

  • Rapid experimentation culture: We believe in failing fast and learning faster. Our team runs experiments to validate our assumptions, constantly iterating to find the next big growth lever.

  • Cross-functional collaboration: We work closely with Product, Marketing, and Engineering teams, ensuring our insights translate into tangible product improvements and marketing strategies.

  • Cutting-edge tech stack: We're always evolving our toolkit, currently utilising technologies like Python, SQL, Spark, and 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.

  • Growth-focused metrics: We measure our success not just in model accuracy, but in real business outcomes like user acquisition, retention, and lifetime value.

We are also interested in hearing from people who:

  • Enjoy tackling exciting and challenging business problems.

  • Use combination of commercial thinking and analytically driven results to formulate new ideas for the business.

  • Love to work with others to solve problems and provide the best possible solutions for your stakeholders.

  • Enjoy a collaborative team environment and want to help foster a positive and inclusive culture that promotes development and growth

Tech skills:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure to any ML systems and statistical modelling will set you up for success in this role!

  • Solid foundational experience leading projects within Data Science, ML models and AI within a financial services organisation or an equivalent large-scale environment.

  • Strong hands-on coding and ability to write modular and optimised code using Python, SQL, and Spark.

  • AI-curious - You possess deeper-than-surface-level insights into AI models and preferably have 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, Actuarial Studies.

Working with us:

Whether you’re passionate about customer service, driven by data, or called by creativity, a career here is for you. At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation. Read more about our commitment to inclusion and diversity on our website.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive and flexible workplace. We are working hard to recruit people who represent the diversity of our customers and our society. If you're excited about this opportunity but you don't meet every single requirement, or your experience doesn't align perfectly, we still want to encourage you to send in your application. You may just be the perfect candidate for this opportunity or another within CommBank.

APPLY NOW, to live your best life doing your best work with us!

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 989 696.

Advertising End Date: 25/11/2024

Top Skills

Python
R
The Company
HQ: Sydney, New South Wales
52,000 Employees
On-site Workplace
Year Founded: 1911

What We Do

Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services.

We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.

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