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Role - Ontologist
Location - London, UK (Hybrid)
Type - Permanent/Contract (Inside IR35)
Job Description:
About the Role
We are building a canonical insurance ontology that spans policy, coverage, underwriting, claims, and product taxonomy — intended to serve as the semantic backbone across our data platforms, AI applications, and regulatory reporting. You will own the vocabulary: designing, extending, and governing OWL/RDF ontologies that give every downstream system a shared, machine-readable understanding.
What You Will Do
- Design and extend insurance ontology — classes, properties, named individuals — across lines of business: property & casualty, management liability, professional indemnity, specialty, consumer insurance products and reinsurance.
- Drive vocabulary governance: establish and enforce naming conventions, cardinality rules, namespace strategy, and deprecation policies as the ontology grows.
- Translate SME knowledge into formal axioms: interview underwriters, product managers, actuaries, and claims handlers; convert their business definitions into rdfs:comment, skos:definition, and OWL restrictions.
- Map source schemas to ontology: analyze source system data dictionaries (SQL DDL, Excel, XML/XSD) and produce mappings with rationale — the handoff artefact that drives engineering implementation.
- Collaborate with the data engineering and AI teams to ensure ontology terms are consumable in knowledge graphs, LLM RAG pipelines, and BI semantic layers.
- Maintain provenance and audit trails using PROV-O: every term addition records its rationale and the SME who approved it.
- Run validation gates before each ontology release: naming conformance checks, annotation completeness, IRI stability, and backward-compatibility review.
- Contribute to tooling: improve the ontology SDLC pipeline (mapping validators, visualisers, alongside the engineering team.
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What We Are Looking For
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Required (Must Have)
- 4+ years of hands-on ontology engineering using OWL 2, RDF, RDFS, and SPARQL.
- Proficiency in at least one serialization format: JSON-LD, Turtle, or RDF/XML — JSON-LD preferred.
- Experience mapping source data schemas (any format) to ontology terms and articulating the design decisions behind each choice.
- Familiarity with at least one upper or mid-level ontology: GIST, FIBO, BFO, PROV-O, Dublin.
- Ability to communicate ontology decisions in plain business language — you will present to underwriters, not only to engineers.
- Strong written skills: every term you mint needs a clear, non-circular rdfs:comment.
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