Senior Data Scientist, NLP – Applied AI

🔥 2 minutes ago

🇬🇧 United Kingdom – Remote

💵 £44.2k - £63.4k / 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 • 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

• 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

• 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