AI Scientist
Responsible AI Specialist, Technology
Workstreams
Reports to: Lead of Responsible AI, Office of the Chief Technology Officer (OCTO)
Shape the future of Responsible AI at Pearson. Inspire growth. Empower learning.
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.
Who we are
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 TalentExperienceGlobalTeam@grp.pearson.com.
Job: Data Engineering
Job Family: TECHNOLOGY
Organization: OCTO
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 26323
