Bravery Analysis from the Women in Data® Flagship 2023 Event If you were one of the women in data that came to our stand or workshop on 9 March, chances are very high that you want to find a way that enables you to Be Braver personally and professionally. [...]
In this episode of the Women in Data podcast, Karen is joined by Niamh Broderick, Data Scientist at Monzo Bank, who shares her experience of transitioning from a manager to an individual contributor (IC). She talks about how realising she was getting her energy from working on technical challenges [...]
In this episode of Women in Data, Karen is joined by Cecilia Oliveira, new co-host of the series, as she recounts her transition from a career in sales and hospitality to the field of data. Cecilia talks about the challenges she faced as she tried to navigate a new industry and how imposter [...]
This week, Karen is joined by Nicole Ramsden, Chief Data Office Lead at JP Morgan. Throughout her career, Nicole has worn various hats in many locations, but when she was appointed to build a new data function for JP Morgan, she found herself leading outside of her comfort zone. In this episode, [...]
This week, Karen is joined by Jackie Carter, Professor in Statistical Literacy at the University of Manchester, to talk about how to make data analytics careers accessible to all. In this episode, Jackie highlights the importance of opening the field to more diverse backgrounds as many university [...]
This week, Karen is joined by Zandra Moore, Co-Founder, and CEO of PanIntelligence. With only 1% of capital deals going to female-founded teams, Zandra joined a government task force to increase opportunities for women starting, growing and scaling their businesses. In this episode, she shares her [...]
The Women in Data flagship event is approaching, and I don’t know about you, but I am super excited. Roisin McCarthy, founder of Women in Data joined me on the podcast to give you a sneak peek into the event. Inspiring speakers, workshops, robots, gigantic LEGO minifigure, etc.. Women in Data [...]