Vaida has over 15 years of experience in the field of data science in developing solutions to enhance decision-making. Her expertise is evident in her leadership of numerous successful projects, which have seen her shortlisted for the DataIQ FrontRunner Award. Vaida’s team supports numerous data science solutions that specialise in fraud detection, health and safety, ESG reporting, customer segmentation, and other insights such as churn and product recommendation.
Outside of the office, Vaida leads the internal Women in Data network and is actively involved in the Tech and Data DEI workstream, demonstrating her commitment to diversity and inclusion. She mentors more than 30 data apprentices and colleagues and supports various departments within the company with data-driven insights.
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