Data Scientist, AI & ML for Value Products

Pearson; Topeka (KS); On-site; USD 125,000 - 140,000; Full time

Job summary

Pearson is hiring a Data Scientist for the VALUE team to transform data into actionable insights and support product strategy, operational excellence, and customer outcomes. You will analyze structured and unstructured data, build ML solutions, and communicate findings through visualizations and reports.

Collaboration with Product Managers, Engineers, and Analysts is essential to drive measurable business value.

Qualifications

• Bachelor’s degree in data science 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.

Responsibilities

• Develop AI-enabled products and operational initiatives across the VALUE portfolio.
• Support experimentation and implementation of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) capabilities.
• Assist in the development and evaluation of prompts, knowledge retrieval strategies, model outputs, and AI-assisted workflows.
• Build and monitor evaluation frameworks that measure AI accuracy, relevance, reliability, latency, and business impact.
• Partner with engineering teams to integrate AI capabilities into production-ready services and platforms.
• Help establish best practices for responsible AI, model monitoring, governance, transparency, and human oversight.

Skills

Python-based analytics

Data visualization

KPI development

Cloud analytics (Azure)

Generative AI & LLMs

AI evaluation & governance

Education

Bachelor’s degree in data science or related field

Tools

Python

Azure

Job description

Pearson is hiring a Data Scientist for the VALUE team to transform data into actionable insights and support product strategy, operational excellence, and customer outcomes. You will analyze structured and unstructured data, build ML solutions, and communicate findings through visualizations and reports.

Collaboration with Product Managers, Engineers, and Analysts is essential to drive measurable business value.