Senior Data Scientist, NLP, Applied AI

🔥 35 minutes ago

🌐 United Kingdom, Canada, +10 more countries – Remote

🇬🇧 United Kingdom – Remote 🇨🇦 Canada – Remote 🇺🇸 United States – Remote 🇦🇹 Austria – Remote 🇨🇿 Czechia – Remote 🇩🇰 Denmark – Remote 🇫🇷 France – Remote 🇬🇷 Greece – Remote 🇮🇹 Italy – Remote 🇳🇱 Netherlands – Remote 🇷🇴 Romania – Remote 🇪🇸 Spain – Remote

💵 £51.1k - £73.2k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Wiley

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

📚 Education

🔬 Science

Education • Science

Wiley is a global publishing and information services company that connects researchers, educators, students, and professionals through scholarly journals, books, digital content, and learning platforms. It operates Wiley Online Library with thousands of journals, reference works, and books, provides textbooks and courseware (including rental and digital access), and offers publishing, research support, and AI-enabled tools and services for academic institutions, R&D teams, societies, and corporations. Wiley advances research discovery and professional learning by combining trusted content with technology platforms, licensing, and development services.

📋 Description

• 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 for extraction and enrichment • Select approaches based on evaluation, cost, and operational tradeoffs • Build golden evaluation sets in consultation with subject-matter experts and vendors • Choose evaluation metrics and balance speed, quality, and cost • Contribute to agentic AI applications that reason over enriched scientific corpora • Shape how agents ground and defend their answers • Work directly with editors, product managers, and engineers • Translate stakeholder feedback into concrete modeling work • Own models, evaluations, code, production releases, and outcomes end to end

🎯 Requirements

• Strong NLP background across LLMs, transformers, embeddings, retrieval, NER, classification, and sequence labeling • Experience building evaluations and learning from results • Strong Python skills • Comfort working in exploratory notebooks and production repositories • Ability to compare modeling approaches and justify choices using evaluations, cost estimates, and operational tradeoffs • Experience working with scientific or scholarly text (nice to have) • Familiarity with AWS, including S3, Batch, Lambda, and SageMaker (nice to have) • Familiarity with Parquet or Iceberg data lake patterns (nice to have) • Experience running LLMs under production cost and latency budgets (nice to have) • Exposure to agentic AI applications, including tool use, multi-step reasoning, guardrails, and trajectory evaluation (nice to have) • Resume/CV required when applying

🏖️ Benefits

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

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