At a Glance
- Tasks: Design and govern insurance ontologies, ensuring data models are machine-readable.
- Company: Dynamic insurance tech firm with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology.
- Why this job: Join us to shape the future of insurance data and make a real impact.
- Qualifications: 4+ years in ontology engineering and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
We have an urgent requirement for insurance-specific ontology specialists who understand the insurance domain very well. Someone who has worked extensively with JSON structures and can understand how data models and JSON structure works may fit in 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 format. This is a hands-on engineering role, not a purely theoretical one. You will work in JSON-LD and Turtle daily, collaborate with product SMEs to capture domain semantics correctly, and apply formal upper ontologies (gist, PROV-O) to anchor client terms to open standards.
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.
- 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.
Preferred
- Insurance domain knowledge — commercial and consumer insurance products.
- Experience with FIBO (Financial Industry Business Ontology) or ACORD data standards and the underlying data models.
- Knowledge of SHACL for ontology constraint validation.
- Familiarity with provenance capture patterns (PROV-O Activities, Entities, Agents).
- Experience building or governing ontologies used in AI / knowledge graph / RAG contexts.
- Python scripting for ontology tooling.
Ontologist in London employer: LanceSoft UK
As a Site Coordinator at our Bentley/Beverley location, you will join a dynamic team dedicated to delivering high-quality construction projects while enjoying a supportive work culture that prioritises employee growth and development. We offer competitive benefits, including opportunities for professional advancement and a collaborative environment where your contributions are valued, making it an excellent place for those seeking meaningful and rewarding employment in the construction industry.
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