Women In Data Panel Debate
summary
Community grows from 125 to 20,000 in three years and a flagship event draws 1,000 female practitioners, while recruiters report only 2% of placed senior roles were women despite ~51% of numerical graduates being female. Examples: early coding toys and school Python classes change pipelines; flexible working and mixed mentoring programmes retain talent; companies promote during pregnancy and offer upskilling; a product failure—Apple Health omitting menstrual cycles—shows lack of diversity skews outcomes.
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chapters (15)
- 0:00Introduction of panel
- 1:09Why talk about women in data
- 4:44Founders' mission and stats
- 6:30Women in tech workplace challenges
- 10:25Encouraging girls in STEM early
- 12:12Employers' role in attracting women
- 15:44Flexible working for all
- 17:08Supporting working mothers
- 20:16Diverse teams and innovation
- 21:44Workplace best practices shared
- 23:08Diversity programs and business impact
- 25:15Mentoring beyond gender
- 27:20Skills and job applications
- 28:21Social sciences in data roles
- 29:03Final thoughts and horizon line
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