Senior Data Scientist (GenAI Specialist)

at  Westpac Group

HOW WILL I HELP?

The role is for a Senior Data Scientist (GenAI Specialist) within the Advanced Analytics and Products Design area. 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.

Your key responsibilities include:

• As a member of the Advanced Analytics and Product Design team contribute to data science best practices, standards and guidelines to enable the delivery of Machine Learning Models.
• 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.
• Lead 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.
• Collaborate with cross-functional teams to identify opportunities to leverage data and drive growth.
• Engage closely with the Data Engineering Practice and Data Science COE to ensure regular assessment and alignment of process and practice maturity.
• Assess and understand the evolving requirements of Data Scientists and other Data Professionals around the Division to ensure their experience in achieving their day-to-day outcomes is optimal – be an advocate for data professionals.

• As a member of the Advanced Analytics and Product Design team contribute to data science best practices, standards and guidelines to enable the delivery of Machine Learning Models.
• 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.
• Lead 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.
• Collaborate with cross-functional teams to identify opportunities to leverage data and drive growth.
• Engage closely with the Data Engineering Practice and Data Science COE to ensure regular assessment and alignment of process and practice maturity.
• Assess and understand the evolving requirements of Data Scientists and other Data Professionals around the Division to ensure their experience in achieving their day-to-day outcomes is optimal – be an advocate for data professionals