Senior Data Scientist I (AI/NLP)

Location: London Wall, United Kingdom; London/Oxford hybrid working

Company

hirify.global provides information, analytics, publishing, research, healthcare, education, and clinical-practice products that support scientific discovery and improved health outcomes.

What you will do

• Design, build, and evaluate AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
• Develop LLM-powered workflows and RAG systems for search, summarization, question answering, and evidence-grounded insight generation.
• Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern AI techniques and orchestration frameworks.
• Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.
• Establish evaluation, experimentation, and monitoring frameworks for quality, trust, performance, and reliability.
• Write production-ready Python, partner with engineering teams on deployment, and provide technical leadership and mentoring.

Requirements

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

Culture & Benefits

• Flexible working hours that allow work to be arranged around periods of highest productivity.
• Focus on work/life balance, trust, respect, collaboration, agility, and quality.
• Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
• Country-specific benefits and support for a long-term career.