General Manager, Group Data Science

    Amy Shi-Nash

    We are moving into a new era – the fourth industrial revolution. Everything we know and everything we do is being challenged and redefined by data and advancements in machine learning and artificial intelligence. What will this mean for our workforce and what skills will you need for the future?

    Seventy-five per cent of future jobs are estimated to require STEM skills, but only 16% of people currently employed in areas such as science, tech, engineering and maths are female. It’s a big opportunity for women in business.

    Meet Amy Shi-Nash

    Meet Amy Shi-Nash, CommBank’s General Manager of Group Data Science, with an interesting career history. Amy has a PhD in data mining, a Masters in Artificial Intelligence, an MBA, holds multiple patents and has nearly 20 years’ international experience creating value and competitive advantage through data-driven cultures and innovation. It’s a combination of scientific depth, industry know-how, leadership skills and commercial acumen.

    “Having skills in scientific thinking and a framework for problem-solving is going to be important for many careers and industries in the future,” says Amy.

    Biases in machine learning

    Inherent biases are already starting to appear in decisions made by machine learning algorithms, and now is the time to have a diverse team involved in creating these algorithms.

    For example, a job recommendation system will most likely recommend men for data science or engineering roles ahead of women.

    The importance of diversity and women in business

    “We need to be more conscious of identifying the bias and challenging the assumptions of how we use data to make decisions,” she says. “We also need more diversity in terms of gender, age, cultural and social backgrounds, professional disciplines and industry experience.

    “It couldn’t be a better time to study STEM subjects to expand future career opportunities, especially for women,” she adds.

    Amy’s determined to help shape the next generation of great, diverse minds in data science. The future of work may be unknown, but if Amy’s story is anything to go by, the future of women in business and STEM is already here.

    – Eliza Brockwell

    Amy’s path

    > > Masters in AI, Nanjing UniversityChina

    > > MBA, University of Reading, UK

    > > PhD in data mining from the Hong Kong Polytechnic University

    > > Founding member and Chief Data Science Officer of DataSpark

    > > General Manager, Group Data Science at Commbank

    Amy Shi-Nash, Group Data Science Manager at Commbank and icon for women in business

    “It couldn’t be a better time to study STEM subjects to expand future career opportunities, especially for women.”

    artificial intelligence
    Elise Roberts

    Author: Elise Roberts

    Elise is a science, tech and business enthusiast, motivated to connect people with research that will propel their success. With over ten years’ experience working at the intersection of technology and communications across a wide range of industries, Elise enjoys jumping on the latest trends in digital media to share new knowledge with the Australian community.


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