Technical Leader Opportunity
You are a technical leader 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.
Do work that matters
As a Data Science Chapter Lead within the Retail Banking AI and Data Science Team, 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.
This includes areas such as Machine Learning and Generative AI where our models help uplift customer experience through the use of AI and ML capacity – and more generally any area where modelling and AI can add value to customer outcomes. You’ll work closely with key stakeholders, such as the Portfolio teams, Finance and Group to ensure modelling outcomes are accurate and align with the strategic direction of the business.
See yourself in the team
The Retail Banking Services (RBS) AI team is responsible for leading the delivery of world-capabilities to improve the financial well-being of our customers and communities. We support the multiple businesses within RBS area through the development and maintenance of predictive models, creating insights to enable business decision making at a strategic and tactical level.
Role and Responsibilities:
You will be responsible for the development and management of key modelling assets within the team, fostering a team vision and approach that utilises state-of-the-art data science and statistical techniques. You will be expected to drive higher quality and 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. 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 Product and Pricing, Line 1 risk 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 want to hear from you if you have:
Excellent written & verbal communication skills to coordinate and influence senior cross-functional stakeholders and contribute to a high-performing team.
Exceptional statistical / analytical / data science knowledge with the ability to work in both theoretical and practical analysis spaces.
Advanced technical skills - ability to generate actionable value-add insights by understanding complex data and using tools such as Python, R, Spark, Teradata SQL.
A relevant tertiary qualification e.g. Mathematics, Statistics, Economics, Econometrics, Computer Science or Engineering.
Working with us:
Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with the 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.
If this sounds like you then apply today!
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.
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Advertising End Date: 26/11/2024
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