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Senior Data Scientist

2 months ago

Sydney, Australia Bankwest Full time

Senior Data Scientist

You are determined to stay ahead of the latest technologies in Data Science We're one of the largest and most advanced Data Science practices in the country Together we can build state-of-the-art Data Science models that power seamless experiences for millions of customers.

Do work that matters

As a Senior Data Scientist within the Chief Operations Office (COO) Data Science team, you will contribute to the development and management of AI models supporting the Chief Operations Office of the bank. This role involves designing and developing cutting edge AI solutions to uplift operation efficiency and customer experience.


You will work closely with key stakeholders, and cross-functional teams within COO Data Science team and the COO business stakeholders to ensure best customer and business outcomes.

You will come with a strong business acumen along with demonstrable experience in using statistics and machine learning and will be part of a high-performing team of data scientists that concentrates on data models to solve data science problems.

To us, data is everything. It is what powers our cutting-edge features and it’s the reason we can provide seamless experiences for millions of customers from app to branch.

See yourself in our team

The Chief Operations Office (COO) Data Science team is responsible for leading and the delivery of world-class AI and ML capabilities to support the stakeholders in serving our customers. We focus on developing advanced Machine Learning and Generative AI capabilities at CBA, working closely with business teams and analytics communities across the bank. We use data, ML and AI to enhance the financial wellbeing of our customers and communities, and to improve productivity and reduce risk.

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 are seeking people who are:

Passionate about building market leading commercial, machine learning systems that utilise state of the art data science and scoring techniques Excited about tackling new challenging business problems in Data Science Adept with using a combination of commercial and technical Data Science models to find unique solutions in adding strategic value to the business Collaborative in nature to work with product teams, curious enough to solve data problems and courageous in positively influencing senior stakeholders Natural leaders that enjoy a collaborative environment and want to help foster a positive and inclusive culture that promotes development and growth Constantly thinking outside the box and breaking boundaries to solve complex data science problems

We are also interested in hearing from people who:

Are able to build and develop ML and AI solution and utilise statistical models to drive business decisions and outcomes 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 and ML models and Gen AI Experience in developing and deploying a variety of AI / data science solutions including generative AI, NLP, reinforcement learning Have coding skills that allow you to build and implement the ML models ideas easily and quickly (R or Python, PySpark, Python, SQL, AWS/ Azure) Track record of proficient data wrangling skills and efficient large data manipulation Strong experience in identifying, analysing and prioritising opportunities for AI solutions to achieve the greatest impact  Project management and presentation skills to communicate and keep track of timelines including to other data scientists working on same or similar projects Degree level qualification in Computer Science, Engineering, Mathematics, Statistics or similar subjects

Working with us:

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

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We’re hiring technology talent from across all of Australia and have opened technology hubs in Sydney, Melbourne and Perth. We really love working here, and we think you will too.

**Apply Now to live your best life, by doing your best work with us **