[Hiring] Principal Data Scientist @Wiley

Role Description

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.
• Own evaluation. Build the golden sets in 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.
• Collaborate with a team of data engineers to orchestrate work in data pipeline and data build tools like Airflow and Dagster.
• Contribute to agentic AI application work: tool-using systems that reason over the enriched corpus.
• Work directly with editors, product managers, and engineers to bring the modeling perspective into product decisions.

Qualifications

• Deep Python experience, written in production, at scale, for years.
• Strong NLP background across modern and classical approaches.
• A habit of comparing approaches and choosing the right one for the task.
• A track record of shipping systems that deliver value to real users.

Requirements

• Experience working with scientific or scholarly text (nice to have).
• Familiarity with AWS (S3, Batch, Lambda, SageMaker) and Parquet or Iceberg data lake patterns (nice to have).
• Experience running LLMs under real cost and latency budgets in production (nice to have).
• Some exposure to agentic AI applications: tool use, multi-step reasoning, guardrails, and evaluation of trajectories rather than single-turn outputs (nice to have).

Benefits

• Meeting-free Friday afternoons for heads down work and professional development.
• Opportunities to foster community, learn, and grow through employee programming.
• Commitment to fair, transparent pay and competitive compensation.
• Comprehensive benefits package.

Company Description

We publish some of the world's most-read research, 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.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Our global team of innovators, creators, and experts is driving what's next in science, education, and publishing—creating impact that reaches everywhere.

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.

When applying, please attach your resume/CV to be considered.

Salary Range: 59,100.00 GBP to 84,633.33 GBP