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Senior Data Scientist - Enterprise Learning & Skills (ELS), Pearson
Pearson is the world’s learning company; our mission is to help people make progress in their lives through learning.
You’ll join the Enterprise Learning & Skills (ELS) area supporting the understanding and development of skills in a range of contexts.
Our culture emphasizes belonging, diverse viewpoints, and a supportive environment where people can do their best work.
The role
We’re hiring a senior data scientist to help stand up and scale a shared data science capability that partners with stream-aligned teams.
You’ll report into the Data Science Team Manager and lead end ‑ to ‑ end DS/ML projects, shape standards, mentor teammates, and ship models into production, balancing quick wins with robust engineering.
In particular, we are currently exploring ideas around using AI and OCR to process documents and learner work, and to validate marking consistency in a range of qualifications.
Tech focus: Python and AWS (or equivalents in Azure or GCP), with hands ‑ on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock.
What you’ll do
What you’ll bring
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Nice to have
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.
How we work at Pearson
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.
A global education and assessment company providing learning content and digital services.
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