Principal Data Scientist (NLP + Applied AI)

Wiley; United States; Remote; USD 74,000 - 106,000; Full time

Job summary

Wiley in the United States is seeking a senior data scientist to own domain-specific content modeling from evaluation to deployment, building production NLP pipelines that extract entities, classifications, and summaries from large scientific corpora.

You will write production-grade Python, evaluate models, and collaborate with data engineers and editors to ship reliable, scalable solutions that support agentic AI applications.

Qualifications

• Experience writing Python in production, at scale.
• Strong NLP background with modern models and embeddings.
• Ability to compare approaches and defend choices with evaluation and cost.
• Track record shipping production systems that deliver real value.

Responsibilities

• Design NLP enrichment pipelines to extract entities, classifications, claims, and summaries at scale.
• Evaluate NLP approaches vs LLM-based methods and justify tool selections.
• Own model evaluation and build golden sets in collaboration with SMEs and vendors.
• Write production-grade Python; manage concurrency and cost for high-volume workloads.
• Collaborate with data engineers to orchestrate workflows using Airflow/Dagster.
• Contribute to agentic AI work: tool use, multi-step reasoning, and safe trajectories.
• Work with editors, product managers, and engineers to translate needs into modeling work.

Skills

Python in production

NLP with LLMs

Model evaluation

Production-grade software

Tools

Airflow

Dagster

SageMaker

Job description

Job Description:

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'rebuilding the systems that turn one of the world's largest scientific corpora intoresearchintelligence. That means productionNLP pipelines running over millions of journal articles, extracting entities, classifications, claim tuples, and summariesoptimizedfor use by downstream agentic applications.We'relooking for a senior data scientist to owndomain-specificcontentmodeling work end to end, from the eval set through the pipeline stage that ships it.

You'lljoin a small, senior team where data scientists own their models in production.You'llwrite 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 usersin a rapidly evolving market.

Whatyou'lldo

• Design and build NLP enrichment pipelines that extract entities, classifications, claims, and summaries from scientificfull-textat scale.
• Compare NLP approaches to extraction and enrichment against LLM-basedapproaches, andpick 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 tradeoffs. This is a core part of the job, not an occasional exercise.
• Own evaluation. Build the golden setsin consultation with SMEs and vendors, choose the metrics, and make productive tradeoffs between speed, quality, and cost.
• Write production-quality Python. Manage concurrency and cost for high-volume LLM workloads. Structure code that engineers canshipand other data scientists can extend.
• Collaborate with a team of data engineers to orchestrate work in datapipelineand data build tools like Airflow andDagster. Design idempotent,retryable, evaluable pipeline stages that stay reliable when a run fails at scale.
• 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 productdecisions, andtranslate stakeholderpushbackinto concrete modeling work.

Whatyou'llbring

• Deep Python.You'vewritten it in production, at scale, for years. You know when to reach forasyncioversus threads versus a queue, and you can explain the tradeoff clearly.
• Strong NLP background across modern (LLMs, transformers, embeddings, retrieval) and classical (NER, classification, sequence labeling) approaches.You'vebuilt evaluationsand learned from the results.
• 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 2,000 labels" with equal seriousness, back the choice with an eval and a costestimate, andknow what to do when performance drifts.
• A track recordof shipping - not just prototypes and papers, but systems that deliver value to real users.

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 underreal costand 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, andwe'renow 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 theycame for.That'sthe 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 publishingâcreating 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:

59,100.00 GBP to 84,633.33 GBP#LI-CW1