Senior Data Scientist (NLP + Applied AI)

3310 John Wiley & Sons Ltd.; Greater London; On-site; GBP 51,000 - 73,000; Full time

Benefits offered by this job

Meeting-free Friday afternoons

Competitive compensation and benefits

Commitment to equal opportunity and a{

Job summary

John Wiley & Sons Ltd. is seeking a senior data scientist to own domain-specific content modeling end to end. You will design NLP pipelines over millions of journal articles, extract entities, classifications, claims, and summaries, and compare traditional NLP with LLM-based approaches.

You will work with editors, product managers, and engineers to align modeling work with product decisions. You will build evaluations, manage golden sets with SMEs, and shape how agentic AI applications reason

Qualifications

• Strong NLP background across modern (LLMs, transformers, embeddings, retrieval) and classical (NER, classification, sequence labeling) approaches.
• Experience building evaluations and learning from results.
• Proficiency in Python, exploratory notebooks, and production repositories.

Responsibilities

• Design and build NLP enrichment pipelines that extract entities, classifications, claims, and summaries from scientific full-text at scale.
• Compare NLP approaches to extraction and enrichment against LLM-based approaches, and pick the right tool for each task.
• Own evaluation. Build golden sets in consultation with SMEs and vendors, choose the metrics, and balance speed, quality, and cost.
• Contribute to agentic AI application work: tool-using systems that reason over the enriched corpus.
• Work directly with editors, product managers, and engineers to translate stakeholder needs into modeling work.

Job description

About the Role

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: About the role We're building the systems that turn one of the world's largest scientific corpora into research intelligence. That means production NLP pipelines running over millions of journal articles, extracting entities, classifications, claim tuples, and summaries optimized for use by downstream agentic applications. We're looking for a senior data scientist to own domain-specific content modeling work end to end, from the eval set through the pipeline stage that ships it. You'll join a small, senior team where data scientists own their models in production. You'll write the code, own the evaluations, ship the changes, and stay accountable for the outcomes. This is a hands-on role for someone who wants to see their models through to real users in a rapidly evolving market.

What you’ll do

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


• Compare NLP approaches to extraction and enrichment against LLM-based approaches, and pick the right tool for each task. That means putting traditional NLP (NER, sequence labeling, classification), embedding-based retrieval, LLM prompting, and fine-tuned smaller models on the same table, and defending each choice with evaluation, cost, and operational trade-offs. This is a core part of the job, not an occasional exercise.


• Own evaluation. Build the golden sets in consultation with SMEs and vendors, choose the metrics, and make productive trade-offs between speed, quality, and cost.


• Contribute to agentic AI application work: tool-using systems that reason over the enriched corpus, where your NLP and evaluation background will shape how the agent grounds and defends its answers.


• Work directly with editors, product managers, and engineers. Bring the modeling perspective into product decisions, and translate stakeholder pushback into concrete modeling work.

What you’ll bring

• Strong NLP background across modern (LLMs, transformers, embeddings, retrieval) and classical (NER, classification, sequence labeling) approaches.


• You’ve built evaluations and learned from the results.


• Clean python. You are comfortable in exploratory notebooks and production repositories, and an engineer taking over a modeling output from you has a good head start.


• A habit of comparing approaches and choosing the right one for the task.


• You can defend "prompt a large LLM" and "train a small classifier on 2000 labels" with equal seriousness, back the choice with an eval and a cost estimate, and know what to do when performance drifts.

Nice to have

• Experience working with scientific or scholarly text.


• Familiarity with AWS (S3, Batch, Lambda, SageMaker) and Parquet or Iceberg data lake patterns.


• Experience running LLMs under real cost and latency budgets in production.


• Some exposure to agentic AI applications: tool use, multi-step reasoning, guardrails, and evaluation of trajectories rather than single-turn outputs.

Why us

We publish some of the world's most-read research, and we're now in a rare position: applying modern AI to a corpus of trusted scientific knowledge that spans two centuries. Researchers will use the systems you build here to move faster and get closer to the answers they came for. That's the work: from knowledge to impact. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing—creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact [e-mail] for assistance.

We are proud that our workplace promotes continual learning and internal mobility. We offer meeting-free Friday afternoons allowing more time for heads-down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

Salary Range: 51,100.00 GBP to 73,166.66 GBP #LI-CW1