Senior Data Scientist- Gen AI, ML

• You are determined to stay ahead of the latest technologies in Data Science!

• We are one of the largest and most advanced Data Science practices in the country

• Together we can build state-of-the-art AI models that power seamless experiences for millions of customers.

Do work that matters

As a Senior Data Scientist within the Technology Data Science team, you will play a key role in the design, development, and deployment of state-of-the-art ML and Gen AI models in different areas across Technology space at the Bank. This role involves designing and developing cutting edge Gen 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 continue to transform the way we engage with our customers and support communities and people. Our Technology team has a unique role to empower the Group’s strategy in enabling a brighter future for all.

The Technology Data Science team sits within Chief Data and Analytics Office in the group, supporting different areas within Technology space including 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. They 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.

Key skills we are looking for:

• Good knowledge in statistics and excellent programming skills in Python

• Proven  experience in Machine Learning

•  Proven experience in developing GenAI capabilities

• Highly desirable to have Master or PhD relevant to statistics and / or data science, and / or experience relating to research in statistics and / or data science

• Highly desirable to have experience in developing in cloud environments, especially AWS

• Highly desirable to have experience working in a team of data scientists and engineers

We are also interested in hearing from people who:

• Can build and develop ML and AI solution and utilise statistical models to drive business decisions and outcomes.

• Have familiarity with software engineering and keen build AI tools to accelerate SDLC.

• Are experienced in 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. 

• Can collaborate with key business areas, including MLOps teams, Solution Architects and product owners to provide implementable AI and ML solutions and insights to drive engagement and customer satisfaction.

• Are experienced in working with large and complex data within a corporate environment and automating processes.

• Have a natural talent to communicate and positively influence a diverse and large group of stakeholders and cross-functional teams.

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 foundations in statistical modelling, Data Science, ML and Gen AI models.

• Demonstrated experience in developing and deploying a variety of Gen AI data science solutions including generative AI, NLP, reinforcement learning.

• Hands-on coding skills that allow you to build and implement ML model ideas easily and quickly using Python, PySpark, SQL, AWS/ Azure.

• Familiarity with software engineering principles, an engineering background and conceptual understanding of DevSecOps or full cycle engineering.

• Track record of proficient data wrangling skills and efficient large data manipulation.

• Degree in Computer Science, Engineering, Mathematics, Statistics or similar subjects.

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 careers 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.

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.

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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