Key takeaways
- Women in analytics face significant gender disparity, impacting their career progression and experiences.
- The need for re-starter programmes is crucial to support women returning to work after career breaks.
- Encouraging more women to enter tech requires systemic changes and supportive workplace environments.
- Female leaders in data science emphasise the importance of mentorship and sponsorship to advance women's careers.
- Work-life balance remains a critical challenge for women in tech, highlighting the need for flexible work options.

Gender Disparity In Data Science Industry

Encouraging More Women To Study STEM

Overcoming The Unconscious Bias In Recruiting Women In Tech
This topic has been debated quite often for not just in the data science industry but across all major sectors. A majority of women leader that we spoke to iterated that fact that there is definitely a bias during recruiting women. “There is a lack of faith on the part of recruiters who feel that women may be short term assets to the company, because they may take a career break. The truth is that, in this day and age, men are equally a short-term asset, because people simply tend to move laterally faster especially in the millennial generation,” says Jayant. Guneet Sahai, CTO of Mercer-Mettl also believes that there is an unconscious bias that women won’t be able to perform in the technological field, as well as men do. “The bias arises from traditional and stereotypical issues which are taken into consideration by hiring managers which results in women not being hired in technology,” he says. Sahai suggests that to overcome this, managers have to pay attention to have inclusive hiring procedures, mentorship programs, re-starter programs, flexible working hours, and increased attention in learning and development initiatives.Need For Re-starter Programs





