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About the Role
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. 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.
Responsibilities
- Partner with stakeholders across the business to explore high‑impact opportunities.
- Own the full lifecycle: problem framing, data discovery, feature engineering, modelling, evaluation, deployment, monitoring, and iteration.
- Build and productionize LLM features where appropriate (retrieval‑augmented generation, evaluation, safety guardrails, cost/latency optimization) on AWS.
- Contribute to DS/ML standards: experimentation, model governance, documentation, and reproducibility.
- Mentor junior scientists, work with external contractors and collaborate closely with data engineering on pipelines and data quality.
Requirements
- 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.
Skills
- Python
- AWS
- Azure
- GCP
- Classical ML
- LLM
- RAG
- Amazon SageMaker
- Bedrock
- LangChain
- SQL
Location
- Central London
Work Type
- Hybrid
- Full-time
Experience Level
- Senior
Education Level
- Degree in a relevant discipline
- Post graduate qualification
About the Company
- Pearson is the world’s learning company; our mission is to help people make progress in their lives through learning.
- Our culture emphasizes belonging, diverse viewpoints, and a supportive environment where people can do their best work.
- 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.