Data Scientist (Generative AI, LLMs, and RAG)

Quick Facts - Role: Data Scientist (Generative AI, LLMs, and RAG) - Level: IC20 Emerging Specialist (independent ownership of moderately complex initiatives) - Salary range: $125,000–$140,000 (plus annual incentive eligibility) Description As a Data Scientist on the VALUE team, you will transform data into actionable insights that drive product strategy, operational excellence, and customer outcomes. You will analyze structured and unstructured data, build statistical and machine learning solutions, and communicate findings through visualizations, reporting, and recommendations. The role also contributes to Pearson’s Generative AI capabilities, including LLM and RAG solutions, with responsible, secure, measurable AI usage. Responsibilities - Contribute to AI-enabled products and operational initiatives across the VALUE portfolio - Support experimentation and implementation of Generative AI, LLMs, and RAG - Develop and evaluate prompts, retrieval strategies, model outputs, and AI-assisted workflows - Build evaluation frameworks for AI accuracy, relevance, reliability, and latency, and business impact - Partner with engineering teams to integrate AI capabilities into production services and platforms - Establish best practices for responsible AI, model monitoring, governance, transparency, and human oversight - Develop, validate, and maintain statistical and machine learning models (predictive analytics, classification, forecasting, clustering, recommendations, optimization) - Ensure model quality via testing, validation, documentation, and performance monitoring - Translate business questions into analytical solutions with Product Managers and Business Analysts - Communicate risks, assumptions, and recommendations to technical and non-technical stakeholders - Analyze large, complex datasets; perform exploratory analysis and hypothesis testing - Define metrics and KPI frameworks to measure product and business performance - Create dashboards, visualizations, reports, and analytical models for actionable decisions Requirements - Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Engineering, Analytics, or related field, or equivalent practical experience - 3+ years of experience in data science, advanced analytics, machine learning, or related analytical roles - Demonstrated experience using Python for data analysis, modeling, and automation - Experience with statistical analysis, exploratory data analysis, and predictive modeling - Experience working within Agile product or engineering teams - Knowledge, skills, and abilities across data analysis, statistical modeling, machine learning, data visualization, and KPI measurement - Experience with cloud-based analytics platforms (Azure preferred) Benefits - Full-time role with salary range of $125,000–$140,000 - Eligible for an annual incentive program formatted_html_description:

Quick Facts

• Role: Data Scientist (Generative AI, LLMs, and RAG)
• Level: IC20 Emerging Specialist (independent ownership of moderately complex initiatives)
• Compensation: $125,000–$140,000 base salary (plus annual incentive eligibility)

Description

As a Data Scientist on the VALUE team, you 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 visualizations, reporting, and recommendations. The role also contributes to Pearson’s Generative AI efforts, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) solutions, with responsible, secure, and measurable AI usage.

Responsibilities

• Contribute to AI-enabled products and operational initiatives across the VALUE portfolio
• Support experimentation and implementation of Generative AI, LLMs, and RAG
• Develop and evaluate prompts, knowledge retrieval strategies, model outputs, and AI-assisted workflows
• Build and monitor evaluation frameworks for AI accuracy, relevance, reliability, latency, and business impact
• Partner with engineering teams to integrate AI capabilities into production-ready services and platforms
• Establish best practices for responsible AI, model monitoring, governance, transparency, and human oversight
• Develop, validate, and maintain statistical and machine learning models (predictive analytics, classification, forecasting, clustering, recommendations, optimization)
• Ensure model quality through testing, validation, documentation, and performance monitoring
• Translate business questions into analytical solutions with Product Managers and Business Analysts
• Communicate technical findings, risks, assumptions, and recommendations to diverse audiences
• Analyze large, complex datasets and perform exploratory analysis and hypothesis testing
• Define metrics and KPI frameworks to evaluate product and business performance
• Develop dashboards, visualizations, and reports to support decision-making

Requirements

• Bachelor’s degree in a relevant field (data science, Statistics, Mathematics, Computer Science, Engineering, Analytics) or equivalent practical experience
• 3+ years of experience in data science, advanced analytics, machine learning, or related analytical roles
• Demonstrated experience using Python for data analysis, modeling, and automation
• Experience with statistical analysis, exploratory data analysis, and predictive modeling
• Experience working in Agile product or engineering teams
• Experience with cloud-based analytics platforms (Azure preferred)

Benefits

• Full-time role with salary range of $125,000–$140,000
• Annual incentive program eligibility