Rachel Kirkham
About Rachel Kirkham
Rachel Kirkham serves as the Vice President of Analytics and Data Science at MindBridge, where she has worked since 2022. With over 12 years of experience in data analytics and auditing, she has held various roles in organizations such as the UK National Audit Office and has a strong background in promoting diversity in STEM fields.
Current Role at MindBridge AI
Rachel Kirkham serves as the Vice President of Analytics and Data Science at MindBridge AI, a position she has held since 2022. In this role, she focuses on developing applications and visualizations that address challenges in auditing and finance. Her leadership in analytics and data science is aimed at enhancing the company's capabilities in these sectors.
Previous Experience at MindBridge AI
Prior to her current role, Rachel Kirkham worked at MindBridge AI in various capacities. She was the Director of Audit and Risk Analytics from 2020 to 2021 and later served as Executive Director of the same department from 2021 to 2022. During her tenure, she contributed to the development of innovative data analytics solutions tailored for financial auditing.
Professional Background in Auditing and Data Analytics
Rachel Kirkham has over 12 years of experience in the fields of auditing and data analytics. She held multiple positions at the UK National Audit Office, including Assistant Auditor, Audit Principal, and Head of Data Analytics Research. In these roles, she led teams to create advanced data analytics capabilities for financial audits, enhancing the organization's analytical proficiency.
Educational Qualifications
Rachel Kirkham has a strong educational background in data science and business administration. She achieved a Master of Business Administration (MBA) from Imperial College Business School from 2019 to 2021. Additionally, she studied data science at General Assembly in 2018 and holds qualifications from BPP, where she studied from 2010 to 2015.
Advocacy for Diversity in STEM
Rachel Kirkham is an advocate for diversity in STEM fields. She is a founding member of R-Ladies Global, an organization dedicated to promoting the involvement of women in technology. She often speaks on the importance of fostering diversity within the tech community, emphasizing the need for varied perspectives in data science and analytics.