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Senior Data Scientist

2 months ago


Sydney, New South Wales, Australia Commonwealth Bank Full time
About the Role

We are seeking a highly skilled Senior Data Scientist to join our team at Commonwealth Bank. As a Senior Data Scientist, you will be responsible for leading the development and deployment of machine learning and AI models that drive business decisions and outcomes.

Key Responsibilities
  • Lead the design and execution of AI and data science projects, ensuring alignment with business objectives
  • Develop and implement scalable AI solutions, ensuring accuracy and reliability of models
  • Collaborate with cross-functional teams to identify and prioritize opportunities for AI solutions
  • Build, develop, and deploy ML and AI solutions to drive business decisions and outcomes
  • Work with large and complex data within a corporate environment and automate processes
Requirements
  • Solid foundational experience leading projects within Data Science, ML models, and AI within a financial services organization or an equivalent large-scale environment
  • Strong hands-on coding and ability to write modular and optimized code using Python, R, Spark, Hive, SQL
  • Experience in developing, building, and deploying advanced statistical and ML predictive models to implement scalable AI solutions, including LLM (Large Language Models) and Generative AI
  • Innate ability to identify, analyze, and prioritize opportunities for AI solutions to achieve the greatest impact
  • Curious and innovative mindset blended with pragmatic thinking
  • Bachelor's degree in engineering or Master's degree or Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, or Physics
About Us

At Commonwealth Bank, we are committed to creating a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender, and sexual orientation. 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.