Principal Data Scientist, NLP, Applied AI

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop and construct NLP enhancement pipelines that extract entities, classifications, claims, and summaries from scientific full texts on a large scale.

• Evaluate traditional NLP methods, embedding-based retrieval, LLM prompting, and fine-tuned smaller models for extraction and enhancement purposes.

• Take ownership of the evaluation process by creating golden sets, selecting metrics, and balancing speed, quality, and cost considerations.

• Write high-quality production-level Python code while managing concurrency and costs associated with high-volume LLM workloads.

• Work in partnership with data engineers to coordinate tasks using Airflow, Dagster, and data build tools.

• Design pipeline stages that are idempotent, retryable, and evaluable.

• Contribute to agentic AI applications that analyze enriched scientific corpora.

• Collaborate with editors, product managers, and engineers to guide product decisions and translate stakeholder feedback into modeling tasks.

⛳️ Requirements

• Extensive experience with Python in production environments and at scale.

• Strong background in NLP, including expertise in LLMs, transformers, embeddings, retrieval, NER, classification, and sequence labeling.

• Experience in building evaluations and learning from the findings.

• Capability to compare different approaches by considering evaluation, cost, and operational trade-offs.

• Proven history of deploying production systems that provide value to actual users.

• Nice to have: experience with scientific or scholarly texts.

• Nice to have: knowledge of AWS services including S3, Batch, Lambda, and SageMaker.

• Nice to have: familiarity with Parquet or Iceberg data lake architectures.

• Nice to have: experience in managing LLMs within production cost and latency constraints.

• Nice to have: exposure to agentic AI applications, tool usage, multi-step reasoning, guardrails, and trajectory evaluation.

🏝️ Benefits

• Meeting-free Friday afternoons.

• Opportunities for professional development.

• Comprehensive employee programming aimed at fostering community, learning, and growth.

• A thorough benefits package.

• Reasonable accommodations for applicants and employees with disabilities.