Senior Data Scientist, NLP – Applied AI

Wiley

. Design and build NLP enrichment pipelines extracting entities, classifications, claims, and summaries from scientific full-text at scale .

Posted 9/17/2026full-timeRemote • United KingdomSenior💰 £44,200 - £63,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Natural Language Processing (NLP) with a focus on modern and classical approaches, including LLMs, transformers, and entity recognition. Proficient in building evaluations and translating stakeholder feedback into actionable modeling work while ensuring quality and cost-effectiveness.

Highest-signal resume keywords

NLP ExpertiseLLM ExperiencePython ProficiencyEvaluation BuildingAWS Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Natural Language ProcessingEntity RecognitionClassificationSequence LabelingLLMsTransformersEmbeddingsEvaluation MetricsPythonData Lake Patterns

Soft Skills

CollaborationStakeholder CommunicationProblem Solving

Tools & Technologies

AWS S3AWS BatchAWS LambdaAWS SageMakerExploratory Notebooks

Industry Keywords

Scientific TextAgentic AIMulti-Step ReasoningCost ManagementLatency Budgets

Tech Stack

Tools & technologies

AWSPython

About the role

Key responsibilities & impact

Design and build NLP enrichment pipelines extracting entities, classifications, claims, and summaries from scientific full-text at scale
Compare traditional NLP, embedding-based retrieval, LLM prompting, and fine-tuned smaller models
Select approaches based on evaluation, cost, and operational tradeoffs
Own evaluation by building golden sets with SMEs and vendors
Choose metrics and balance speed, quality, and cost
Contribute to agentic AI applications that reason over enriched scientific corpora
Shape how agents ground and defend answers
Work directly with editors, product managers, and engineers
Bring modeling perspectives into product decisions
Translate stakeholder feedback into concrete modeling work
Write code, own evaluations, ship production changes, and remain accountable for outcomes

Requirements

What you’ll need

Strong NLP background across modern approaches including LLMs, transformers, embeddings, and retrieval
Strong NLP background across classical approaches including NER, classification, and sequence labeling
Experience building evaluations and learning from evaluation results
Clean Python skills
Comfortable working in exploratory notebooks and production repositories
Ability to compare approaches and select the right tool based on evaluation, cost, and operational tradeoffs
Experience with scientific or scholarly text preferred
Familiarity with AWS, including S3, Batch, Lambda, and SageMaker preferred
Familiarity with Parquet or Iceberg data lake patterns preferred
Experience running LLMs under real cost and latency budgets in production preferred
Exposure to agentic AI applications, including tool use, multi-step reasoning, guardrails, and trajectory evaluation preferred
Must attach a resume/CV when applying

Benefits

Comp & perks

Meeting-free Friday afternoons
Professional development opportunities
Employee programs supporting community, learning, and growth
Comprehensive benefits package
Competitive compensation
Equal opportunity and affirmative action employment practices
Reasonable accommodation for applicants and employees with disabilities