At a Glance
- Tasks: Transform complex documents into structured knowledge graphs and design evaluation frameworks.
- Company: Leading AI company focused on critical sectors like finance and public services.
- Benefits: Competitive salary, EMI share options, private health cover, and generous leave.
- Other info: Enjoy real autonomy and define standards in a growing discipline.
- Why this job: Shape the future of knowledge graphs in a trusted tech environment.
- Qualifications: 5+ years in data science with strong Python and graph database experience.
The predicted salary is between 63000 - 77000 £ per year.
Senior individual contributor role turning complex technical, legal and regulatory documentation into production knowledge graphs.
Remote across UK with Belfast office. Competitive salary, EMI share options, private health cover and company pension.
About the Company: My client builds sovereign AI systems for organisations that do not get to fail: financial services and critical public sector bodies. Their platform is deployed into some of the most tightly regulated environments in the UK, where an answer retrieved out of context has real consequences.
The Role: You will own the full lifecycle of turning messy source material into trustworthy, queryable knowledge: parsing and modelling documents, designing the graph schemas and ontologies, building the ingestion pipelines and implementing the retrieval pathways that serve live AI solutions. You will prove it works, designing the evaluation frameworks that demonstrate documentation has been parsed accurately and that information is coming back correctly, completely and in the right context. You will sit within the Engineering team as their embedded knowledge graph specialist. The discipline is one the business is still actively shaping, so the standards and playbooks you create will define what this function looks like as it grows.
What You'll Need:
- Essential: 5+ years in data science, machine learning or data engineering, with a demonstrable track record of transforming complex documentation into structured knowledge graph representations.
- Hands-on experience designing and implementing retrieval over graphs: traversal, query design, hybrid graph and semantic search, and integration with LLM-based applications.
- Experience defining and running evaluations for both extraction quality and retrieval accuracy.
- Strong Python, with confidence around APIs, data pipelines, CI/CD and modern deployment approaches.
- Desirable: Production experience with graph databases such as ArangoDB (including AQL), Neo4j or Amazon Neptune.
- Familiarity with RDF, OWL and SKOS, or with LLM evaluation tooling such as Ragas, DeepEval, LangSmith or promptfoo.
- UK Security Clearance, or eligibility to obtain it.
Why Apply?
- Roughly 30 days of additional time back each year on top of standard annual leave.
- Competitive salary, company pension, private health cover and EMI share options.
- Real autonomy: you define the standards and playbooks for a discipline the business is still shaping.
- Work on technology trusted by some of the UK's most critical customers.
Senior Data Scientist employer: Ocho
Join a dynamic and innovative digital consultancy that champions a remote-first work culture, offering exceptional benefits such as a competitive salary, generous annual leave, and a commitment to professional development. With a focus on quality and collaboration, you'll thrive in an environment that values your expertise and provides the autonomy to shape QA processes while working on complex, multi-component systems alongside a talented team in Northern Ireland.
