Senior Data Scientist (NLP + Applied AI)

Role overview

What you will do

• Build NLP pipelines that extract entities, classifications, claims and summaries from scientific full text at scale.
• Evaluate traditional NLP, embedding retrieval, LLM prompting and fine-tuned models for extraction and enrichment tasks.
• Build golden evaluation sets with subject-matter experts and vendors, choose metrics and balance speed, quality and cost.
• Own content modeling from evaluation set through the production pipeline stage.
• Contribute to agentic AI systems that reason over the enriched corpus.
• Work with editors, product managers and engineers to inform product decisions and modeling priorities.

What you will bring

• Bring strong modern and classical NLP experience, including LLMs, transformers, embeddings, retrieval, NER, classification and sequence labeling.
• Have built model evaluations and learned from their results.
• Write clean Python for exploratory notebooks and production repositories.
• Be able to compare approaches, defend choices with evaluations and cost estimates, and address performance drift.

Nice to have

• Experience working with scientific or scholarly text is desirable.
• Familiarity with AWS services including S3, Batch, Lambda and SageMaker, plus Parquet or Iceberg data-lake patterns, is desirable.
• Experience operating LLMs in production within cost and latency budgets is desirable.
• Exposure to agentic AI tool use, multi-step reasoning, guardrails and trajectory evaluation is desirable.

Compensation

• The stated base-pay range is GBP 44,200.00 to GBP 63,400.00 for eligible locations.