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Open nowPosted 5 days ago

AI Scientist

Pearson348 open roles

Where
London, United Kingdom
Work mode
Hybrid
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Your applicationOpen nowAI ScientistPearson · London, United Kingdom

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Pearson postings stay open a median of 10 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 5 days ago

Pearson median: 10 days open

The posting

Job Description

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.

#LI-MG1

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