CNN Central News & Network–ITDC India Epress/ITDC News Bhopal: As the global technology economy continues to expand, women remain significantly underrepresented in core technology roles such as data science, artificial intelligence, analytics, and emerging digital fields. Globally, women account for less than 25% of the technology workforce, with even lower representation in specialised areas like AI and advanced analytics.
India reflects a similar trend. While women constitute approximately 50% of university graduates, their participation in high-growth technology careers remains disproportionately low. Structural and societal factors continue to influence this gap — including limited access to specialised technical training, family expectations around career choices, relocation constraints, and career breaks related to caregiving responsibilities. These barriers are often more pronounced in Tier 2 and Tier 3 cities, where access to industry-aligned technology education and mentorship opportunities can be limited.
Against this backdrop, Newton School, a technology education and career accelerator, has announced a national commitment to train 1,00,000 women across India in high-growth technology roles by 2026 through structured programs, financial support mechanisms, and employment-linked career pathways.
The commitment builds on momentum already created by the company. Over the past year, more than 60,000 women have accessed Newton School’s free and paid technology programs, ranging from foundational learning tracks to advanced career transition programs in data science and artificial intelligence.
Data from Newton School’s learner ecosystem reflects both the existing gender gap and the potential to close it. Currently, women represent approximately 25% of learners within the data science program. However, the performance outcomes across placements tell a more encouraging story.
The average salary for data science placements at Newton School remains the same for both genders, indicating that when access to structured learning pathways and career preparation is available, women perform on par with their peers in the technology workforce. In fact, the highest salary placement within Newton School’s data science program has been secured by a woman, highlighting the significant potential of women professionals when provided the right training environment and mentorship.
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