Are you exploring a career in analytics, statistics or AI? Are you looking to grow a network that can provide opportunity and confidence? Then you’re probably looking across the full landscape of women in data science – after all, you don’t want to sign up for a career that you won’t eventually love.
The fact is, more women are entering technical roles across statistics, programming and business analytics. But the issue is that visibility is limited. The latest figures show both progress and a clear gap. Women account for roughly 20–24% of professionals in data science-related roles globally, depending on the survey, while similar patterns appear across AI and technical leadership positions. Participation in broader STEM fields is growing, but representation still drops at senior levels, and fewer women remain in technical careers long-term.
Want to find out what part networks play in this trend, and which communities you should explore? Read through a complete guide from IE School of Science & Technology and connect with some of the most visible organizations supporting women in data science and women in STEM statistics today.
Why networks matter for women in data science and statistics
As demand for data professionals grows across industries, the technical skill barrier is no longer the only challenge. Access to role models, mentorship and peer support can shape whether someone stays in the field long-term.
Communities help bridge that gap by offering events, resources and spaces where women can share experiences and build confidence.
This matters especially in fields like statistics, AI and data science, where women still represent a minority of professionals globally. Many organizations now focus on making the industry more visible and accessible, connecting early-career talent with experienced practitioners and leaders.
For students and professionals alike, these groups often become a gateway into the industry. They create opportunities to learn, collaborate and discover career pathways in a space that continues to evolve quickly.
Top networking organizations supporting women in data science
Women in Data Science (WiDS)
WiDS Worldwide is one of the most visible global initiatives in the space. Originally launched at Stanford University, it has grown into an international network that hosts conferences, workshops and local chapters across many countries. Its goal is to inspire and support women pursuing careers in data science while creating a global platform for sharing research and ideas.
Because of its global reach, this initiative often ranks highly in search results related to women in data science. It brings together professionals, academics and students, helping people stay connected to the latest developments in analytics and AI.
Women in Big Data
Women in Big Data focuses on building community and visibility for women working across data science, machine learning and analytics. The organization supports a global network of chapters, mentoring initiatives and career-focused events designed to help women grow within technical roles.
It plays a strong role in connecting industry professionals, particularly those already working in technical environments who want to expand their network and leadership opportunities.
Women in AI
Women in AI brings together researchers, engineers and business professionals working in artificial intelligence. The community focuses on improving representation and participation while encouraging more women to pursue AI-related careers.
With AI becoming a central part of modern data science roles, this network has grown in importance for anyone building a career that combines statistics, machine learning and applied technology.
AnitaB.org
AnitaB.org supports women across the broader technology sector, including data science, engineering and digital innovation. It’s known for large-scale events, research and career programs designed to increase diversity in technical fields.
For women in statistics and data science, it provides a wider tech network that can open doors to leadership roles and cross-disciplinary collaboration.
Women Who Code
Women Who Code runs communities, training and events across software development, analytics and technical careers. Many of its programs focus on building practical skills and peer support, which helps early-career professionals stay engaged in technical pathways.
The organization’s global presence makes it one of the most accessible entry points for people exploring coding, analytics or data-focused careers.
What the statistics of women in STEM tell us in 2026
Across STEM as a whole, representation is improving but uneven. Women now make up a large share of the overall science and technology workforce in some regions, yet participation in technical specializations and leadership positions still lags.
In fields tied closely to statistics and computing, the gap remains more visible. Estimates suggest women hold roughly a quarter of roles in data science and analytics globally, with even lower representation in senior and AI-focused positions. These figures highlight why the conversation around women in STEM statistics continues to grow.
At the same time, the pipeline is strengthening. More women are studying technical subjects, entering analytics roles and building careers in applied data fields. Communities and networks play an important role in supporting that momentum, especially in the early stages of a career.
How these communities support careers in data science
Communities play a practical role in helping people build careers in data science. They create spaces to meet mentors, learn from others in the field and stay close to industry trends. That sense of support can make the early stages of a technical career feel more accessible, especially in fast-moving areas like statistics, AI and analytics where confidence and guidance matter just as much as technical skill.
The same idea applies at the education stage. Choosing the right environment can shape how comfortable and supported you feel while developing your abilities. At IE School of Science & Technology, we’ve designed the Master in Business Analytics & Data Science to feel like a collaborative, welcoming community from day one. Students work closely in teams, connect with mentors and build relationships that continue into their careers, with a strong emphasis on making the field feel open and accessible to women entering data and tech roles.
This focus on community helps make role models more visible and encourages more women to see themselves in data science careers.
Through mentorship initiatives, peer support and a culture that values collaboration, the program aims to create the same sense of belonging that professional networks offer. As the field continues to grow, having both a strong academic foundation and a supportive environment can help more women build confidence and move forward in statistics, analytics and AI.
Interested in learning more about becoming part of the IE community? Check out any of the following articles and follow the “Learn more” button below to dive into what our program offers.
Want to see how we support our students? Read our guide on IE mentorship in tech.
Wondering about whether a master’s degree is right for you? Read our guide on whether a business analytics degree is worth it.
Want more information on what you can earn? Read our guide on data analyst salaries in Europe.
Benjamin is the editor of Uncover IE. His writing is featured in the LAMDA Verse and Prose Anthology Vol. 19, The Primer and Moonflake Press. Benjamin provided translation for “FalseStuff: La Muerte de las Musas”, winner of Best Theatre Show at the Max Awards 2024.
Benjamin was shortlisted for the Bristol Old Vic Open Sessions 2016 and the Alpine Fellowship Writing Prize 2023.
