Senior Associate Data Scientist- ML, Gen AI

Senior Associate Data Scientist

• You are curious, enthusiastic and passionate to build advanced ML models
• We are a committed team responsible for delivering best in class models to strengthen the lending decisions
• Together we will deliver state of the art solutions that enable effective risk management across the Group!

Do work that matters:

Here, you’ll turn your passion into reality. In this role, you will contribute to design, development and implementation to cutting edge AI solutions to accelerate Tech modernization, SDLC and uplift customer experience. You will work closely with key stakeholders, and cross-functional teams to ensure best customer and business outcomes.

You will come with a strong business acumen along with demonstrable experience in using AI and machine learning and will be part of a high-performing team of data scientists to deliver high quality solutions leveraging machine learning, statistical modelling, and generative AI.

See yourself in our team:

As we continue our pursuit of NPS +30 we need to transform the way we engage with our customers and support communities and people.  Our Technology team has a unique role to enable the Group’s strategy in enabling a brighter future for all. Technology is responsible the information technology systems for the Group, including information management. It is the key differentiator in how CBA delivers value to our customers and provides foundational services for the Australian economy.

We are a part of the Chief Data and Analytics Office (CDAO) team that is responsible for leading the delivery of world-class data, analytics and technology capabilities to improve the financial well-being of our customers and communities. The Technology Data Science team supports different areas within Technology space such as Retail Technology, Business Bank Technology, Fraud management, Cyber Security, Tech Chief Controls Office etc.

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. We are open-minded, curious and passionate about problem solving and data driven innovation at scale. In CBA we collaborate with universities and start-ups, hold regular knowledge sharing, technical training and external talks which aid in growing the data science community and industry reputation.

We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.

We’re interested in hearing from people who have:

• Experience in Model development including understanding the value of industry leading models.
• Awareness of the end-to-end delivery of advanced models and Gen AI solutions, from translation of business problem to a technical solution and manipulation of large and complex data assets through to advanced and automated model management.  
• Passion for working across a broad range of business challenges and data, from improvements and optimisation in existing processes to green-field problem spaces, in a transparent and risk aware manner.

Tech skills

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

• Tertiary qualifications, with above average academic achievements, in a quantitative discipline such as mathematics, statistics, econometrics, actuarial science, engineering and data science. A solid foundation in applying advanced mathematical and statistical techniques is essential. 
• Programming skills in Python, SAS and SQL, and manipulation of large and complex datasets, Machine / Deep Learning / Gen AI / Natural Language Processing.
• Knowledge of database management systems (e.g., SQL, Spark, Hive), data analysis tools (R, Python) and data integration techniques.
• Experience with AWS/ Azure services.
• Solid time management and prioritisation skills.
• Demonstrated skills in written and verbal communication, including ability to interpret and report complex material and make sound recommendations to a range of stakeholders.
• Have familiarity with software engineering and keen build AI tools to accelerate SDLC.

Working with us: 

Whether you’re passionate about customer service, driven by data, or called by creativity, a career here is for you.

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.

At CommBank we will inspire you with work that makes a difference, surround you with talent people that respect and value each other, and empower you to grow professionally and personally. Most of all, making a positive impact for customers, communities and each other is part of our every day.

We’re determined to make a real difference for Australia’s first peoples. We encourage all interested applicants to apply. If you’re already part of the Commonwealth Bank Group (including BankWest), 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. 

APPLY NOW!

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