Senior Data Scientist

Salary: £65,000 - 105,000 per year

Requirements:

• We have practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.
• We have strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments.
• We have expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.
• We have strong Python skills and solid machine learning fundamentals.
• We have experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.
• We have experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
• We are familiar with cloud platforms and modern software engineering practices.
• We have strong communication, collaboration, and mentoring skills.

Responsibilities:

• We design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
• We develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.
• We build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.
• We integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.
• We establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
• We write production-ready Python code and partner with engineering teams to deploy solutions at scale.
• We provide technical leadership and mentoring to support high-quality delivery and continuous improvement.

Technologies:

• AI
• Cloud
• Fine-tuning
• Support
• LLM
• Machine Learning
• Python
• RAG

More:

We are a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. Our global team supports products in education and electronic health records, and we value trust, respect, collaboration, agility, and quality. This role is based in London/Oxford with hybrid working and flexible hours. We offer a healthy work/life balance, wellbeing initiatives, shared parental leave, study assistance, sabbaticals, and country-specific benefits.

last updated 35 week of 2026