Data Scientist on the VALUE team at Pearson will transform data into actionable insights that drive product strategy, operational excellence, and customer outcomes. You will analyze structured and unstructured data, develop statistical and machine learning solutions, and communicate findings through clear visualizations, reporting, and recommendations. You will partner closely with Product Managers, Software Engineers, Business Analysts, Data Engineers, and Quality Engineers to identify opportunities where data and AI can improve decision-making, automate workflows, enhance customer experiences, and create measurable business value. In addition to traditional data science responsibilities, this role contributes to Pearson's growing use of Artificial Intelligence technologies, including Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) solutions. You will help evaluate, develop, and operationalize AI-enabled capabilities while ensuring responsible, secure, and measurable use of AI technologies. The role combines analytical rigor with practical business application and delivery-focused execution. Key responsibilities include AI & Emerging Technology Contributions, Statistical Modeling & Machine Learning, Collaboration, and Data Analysis & Insights. Required education and experience include a Bachelor's degree in data science, statistics, mathematics, computer science, engineering, analytics, or related field (or equivalent practical experience) and 3+ years of experience in data science or related roles, with proficiency in Python and exper

Data Scientist on the VALUE team at Pearson will transform data into actionable insights that drive product strategy, operational excellence, and customer outcomes. You will analyze structured and unstructured data, develop statistical and machine learning solutions, and communicate findings through clear visualizations, reporting, and recommendations. You will partner closely with Product Managers, Software Engineers, Business Analysts, Data Engineers, and Quality Engineers to identify opportunities where data and AI can improve decision-making, automate workflows, enhance customer experiences, and create measurable business value. In addition to traditional data science responsibilities, this role contributes to Pearson's growing use of Artificial Intelligence technologies, including Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) solutions. You will help evaluate, develop, and operationalize AI-enabled capabilities while ensuring responsible, secure, and measurable use of AI technologies. The role combines analytical rigor with practical business application and delivery-focused execution. Key responsibilities include AI & Emerging Technology Contributions, Statistical Modeling & Machine Learning, Collaboration, and Data Analysis & Insights. Required education and experience include a Bachelor's degree in data science, statistics, mathematics, computer science, engineering, analytics, or related field (or equivalent practical experience) and 3+ years of experience in data science or related roles, with proficiency in Python and exper