Data Scientist: AI & ML for Value Products

Pearson; Washington (District of Columbia); On-site; USD 125,000 - 140,000; Full time

Job summary

Pearson is seeking a Data Scientist for the VALUE team to transform data into actionable insights driving 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, reports, and recommendations.

You will collaborate with Product Managers, Software Engineers, Business Analysts, Data Engineers, and Quality Engineers to identify opportunities

Qualifications

• 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.

Responsibilities

• AI & Emerging Technology Contributions: Contribute to AI-enabled products and operational initiatives across the VALUE portfolio.
• 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.

Skills

Data analysis

Statistical modeling

Machine learning

Python

Data visualization

KPI development

Cross-functional collaboration

Communication skills

Education

Bachelor’s degree

Tools

Azure

Job description

Pearson is seeking a Data Scientist for the VALUE team to transform data into actionable insights driving 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, reports, and recommendations.

You will collaborate with Product Managers, Software Engineers, Business Analysts, Data Engineers, and Quality Engineers to identify opportunities