AI Scientist

Position Overview

The Responsible AI Specialist, Technology Workstreams will support the practical delivery and

operationalisation of Pearson’s Responsible AI agenda, with a focus on technical

implementation. Reporting to Lead of Responsible AI, this role will help teams apply Pearson’s

Responsible AI principles and governance framework to AI-enabled products and systems,

supporting responsible design, development, testing, deployment, and ongoing monitoring.

Key Responsibilities

• AI Governance Implementation

Help product and engineering teams embed Responsible AI into their flow of work = the

AI lifecycle.

• Model & System Documentation

Support efforts to maintain clear technical documentation, and decision logs to support

governance reviews, audit readiness, and continuous assurance.

• Testing & Quality Assurance

Contribute to defining best practices for benchmarking, evaluation, red-teaming

coordination, model monitoring, and review activities that assess AI performance, and

reliability.

• Cross-Functional Collaboration

Work with colleagues to embed responsible practices into technical delivery.

Qualifications & Skills

•Bachelor’s degree or equivalent experience in computer science, data science,

engineering, information systems, statistics, human-computer interaction, ethics, or a

related field.

•Early-career experience with AI/ML, data science, software delivery, technical product

work, model evaluation, risk assessment, or technology assurance.

•Working knowledge of AI/ML concepts and interest in their ethical, legal, operational,

and learning-impact implications.

•Strong analytical and problem-solving skills, with the ability to translate technical issues

into clear governance documentation.

•Clear communication skills for technical and non-technical audiences.

•Ability to collaborate effectively with engineering, product, governance, legal, privacy,

and security stakeholders.•High ethical standards and integrity.

Why Pearson?

This role offers an opportunity to contribute to an enterprise-wide Responsible AI capability at

the world’s lifelong learning company. It provides hands-on exposure to AI governance and

cross-functional change, with opportunities to grow into broader responsible AI initiatives and strategic governance.

#LI-MG1

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [email protected].

Job: Data Engineering

Job Family: TECHNOLOGY

Organization: OCTO