Advanced Specialist, Data Scientist

A proven track record delivering projects in a Data Science or AI

Experience deploying models to production,understanding of deployment options and trade‑offs.

Practical LLM experience: prompting, fine‑tuning or adapter methods, and building RAG systems.

Orchestration: for example LangChain for pipelines/agents.

RAG best practices and evaluation workflows (e.g., agentic/RAG patterns on SageMaker).

Comfortable choosing the right technique for the job (from baselines to advanced models), with an emphasis on measurable impact and maintainability.

Clear communication with non‑technical partners; ability to translate outcomes to business metrics.

Strong Python for data science and ML; fluency with SQL.

A degree in a relevant discipline, ideally with further post graduate qualification.

Right to work in the UK

Experience in one or more of our domains (assessment/psychometrics, workforce skills/ontologies, recommendations, fraud detection).

Familiarity with MLOps practices (CI/CD for ML, experiment tracking, data/version control) in a cloud environment.

Purpose‑driven, learner‑first; we prize curiosity, decency, and accountability, and we work to ensure everyone belongs and can grow their career.

ELS roles span multiple geographies and partner teams; collaboration and asynchronous communication are essential.

This is a hybrid role, located in Central London, with an expectation of 1-2 days in the office each week.

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.

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Job: Data Engineering

Job Family: TECHNOLOGY

Organization: Enterprise Learning & Skills