Data scientist - specialist

Job DescriptionHow will I help?The role is for a Data Scientist (GenAI Specialist) within the Data Strategy and AI Services team. We are a centralised Data Science team supporting data science use cases across the bank and you will help contribute to building a centre of excellence for Data scientists across the bank maintaining alignment to the strategic priorities. The teams purpose focuses on creating better futures by enabling our people to deliver value to our customers by building data capabilities and promoting the use of data responsibilities.

In this role, you will be responsible for developing and implementing end-to-end data science projects that drive value across the bank. You will liaise with technology teams and business stakeholders to set requirements and deliver high quality, innovative and customer centric solutions. You will be pivotal in unlocking the value of data and insights through technical practice, consistent delivery and showcasing the value of data science. In addition, this position is open to interstate candidates as well.

Your key responsibilities include:

• As a member of the AI Services team contribute to data science best practices, standards and guidelines to enable the delivery of Machine Learning Models and Generative AI solutions.
• Develop end-to-end machine learning models (large language models, generative AI models) to solve complex business problems. Liaise with stakeholders and technologists to set requirements and ensure delivery of project work.
• Actively partner with stakeholders, Data scientists and other technical teams to understand business requirements and design, develop and deploy data driven solutions. Communicate the value of data driven solutions and help increase the uptake and understanding of new data science practices.
• Communicate complex data science concepts to business stakeholders to increase data science adoption.
• Lead projects from start to finish and identify ways to improve ways of working. Help influence the direction of the team and can oversee larger groups of work and projects.
• Contribute to the GenAI practice and use cases across the Westpac group.
• Keep up to date with the latest research and advancements in the field and contribute to academic and industry publications.
• Coordinate the planning and execution of Machine Learning Models in close collaboration with the in-house Data scientists.
• Mentor junior team members, provide technical guidance, and promote best practices, especially in AI development.
• Engage closely with the Data Engineering Practice and Data Science COE to ensure regular assessment and alignment of process and practice maturity.

What’s in it for me?You will play an important and significant part in the future of a business that has been around for 200 years. Our vision is to become one of the world’s great service companies. So, we will back you in the development of your career, with internal career prospects and flexible working. You will also be backed by a fantastic team of people in a can-do, supportive structure.

Whatever shape your family takes, we offer generous paid and unpaid parental leave for your nominated primary and support carers. This includes leave to organise adoptions, surrogacy, and foster care arrangements.

What do I need?

To be successful in this role, you will need to demonstrate the below skills:

• 4+ years of industry experience in developing and deploying ML models for various applications, with a strong track record of delivering successful AI solutions incl. some experience in LLMs in business context.
• Expertise in the following areas: natural language processing, or computer vision Methods: NLP, LLM, GenAI, Open AI, Microsoft Cognitive Services – Audio to text, text mining NLP, Image recognition, Machine Learning.
• Experience with Azure Platforms or other cloud platforms.
• Experience in developing models using frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python.
• Deep understanding of the latest advancements in deep learning, reinforcement learning and generative models, with a proven track record of building and deploying successful applications/solutions in this field is desirable.

What’s it like to work there?As well as competitive remuneration and a great culture, joining the Westpac family means you will get some of the best banking, wealth, and insurance benefits in the market.

We back our employees by helping them work towards industry-recognised qualifications, using online learning, training modules and career planning tools for you to grow with us. We will even pay you to do volunteer or community work.

We aim to provide one big, supportive team to help us achieve our purpose of creating better futures together. As well as competitive remuneration and a great culture, joining the Westpac family means you will have access to banking, wealth, and insurance benefits. .

How do I Apply?

Start here. Just click on the APPLY button.

At Westpac we are committed to providing a supportive culture and creating diverse, inclusive, and accessible workplaces, branches, products and services for our customers, employees, and community. This role is open to experienced candidates seeking a discussion around workplace flexibility. We invite candidates of all ages, genders, sexual orientation, cultural backgrounds, people with disability, neurodiverse individuals, and Indigenous Australians to apply. If you have questions about the recruitment process, please email ***************@westpac.com.au .

Do you need reasonable adjustments during the recruitment process?

We can provide reasonable adjustments for individuals with disability and/or neurodiversity. If you require an adjustment to be made during the recruitment process at any stage, please call 1800 655 592 Option 2.3 or email ***************@westpac.com.au