Positive workplace policies act as key driver of growing women participation in the Data Science …

Then, the fact that more women have risen to significant roles not just in the AI and Data Science domains but also across the broader IT and Technology …

New Delhi: Great Learning, one of India’s leading EdTech companies for professional and higher education, today announced the results of a survey conducted by them on the participation and involvement of women in the data science domain, specifically AI and Analytics. The survey underlines the opportunities that exist for women in these sectors, factors that impact these opportunities and areas to focus on to increase participation of women in the data science sector. It also offers insights into the current representation of women in data science – demographics that offer the most opportunities, distribution across industry sectors and the paths of entry for women into the domain.

The following results are based on responses from close to 2000 women from the data science industry who participated in the survey. This was complemented by direct discussions with women leaders from the AI and Analytics domain to gauge their perspective on the broader participation of Women in AI.

54% women believe they have greater opportunities in AI & Analytics now vs. 5 years ago

Of all the respondents of the survey, 54% affirmed that there were more opportunities for them in AI and Analytics today than 5 years ago. The top five factors cited for this increase in opportunity include positive workplace policies, greater participation of women in the hiring process, favourable recruitment policies, lesser bias towards women and presence of more role-models for women than before.

The work force policies that have had a positive impact on women’s participation in the sector include training/logistics support for such roles, flexi-hours, work from home, and more maternity leaves. Also, the fact that more women pursuing Analytics and Data Science programmes has had an impact. Companies are also doing their bit by reaching out to and shortlisting more women candidates than before. Then, the fact that more women have risen to significant roles not just in the AI and Data Science domains but also across the broader IT and Technology domains has had an impact. Senior women Data Scientists and CIOs across industries and organizations are now serving as role models to numerous women seeking a career in AI and Analytics.

Top 5 factors that will encourage more women to enter AI & Analytics

As per the survey, 27% respondents believe that equal growth and pay for the same level of experience and education will encourage more women. The lack of equal growth and pay for women in AI, continues to be a roadblock discouraging many qualified and experienced women from entering this domain. 24% believe that women will be encouraged to enter this domain if they have greater awareness of the roles and the support that organizations now provide in terms of work-life policies, training, and support. 17% think that having a mentoring and support ecosystem from school to universities to firms will encourage more women to enter AI & Analytics roles. 16% believe that greater access to analytics education and seeing more women in leadership roles will encourage more women to join the industry.

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