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Advanced Specialist, Data Scientist
Pearson VUESenior Data Scientist leading end-to-end DS/ML projects at Pearson's Enterprise Learning & Skills. Collaborating across teams to enhance skills development through innovative data science applications.
Tech Stack
Tools & technologiesAWSPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Purpose-driven, learner-first; we prize curiosity, decency, and accountability, and we work to ensure everyone belongs and can grow their career.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data DiscoveryFeature EngineeringModel EvaluationModel GovernanceExperimentationRAG SystemsCost OptimizationLatency OptimizationDeployment TechniquesOrchestration
Soft Skills
Clear CommunicationMentoring