Knowledge Graph & Semantics Consultant

Overview

In this role you will help clients design and implement knowledge graph and semantic solutions to connect structured and unstructured data. You will explore AI-enabled workflows with human-in-the-loop validation to accelerate delivery. You will contribute to Capco’s Data & Analytics practice, shaping capabilities and supporting clients in financial services. This is a hands-on role at the intersection of data engineering, semantics, and responsible AI. You will work with cross-functional teams to deliver high-impact, explainable knowledge architectures.

Pay / Benefits

• Discretionary bonus
• Competitive pension
• Health insurance
• Mental Health support
• 5 weeks annual leave
• Continuous learning

Responsibilities

• Design and implement knowledge graph, semantic modeling and data solutions that connect structured and unstructured information
• Identify and deliver practical use cases for graph, semantic technologies, analytics and AI
• Leverage approved AI tools with human-in-the-loop review to accelerate research, modeling, and delivery
• Build Capco’s graph and semantic capabilities through thought leadership and capability development
• Develop relationships within the graph technology ecosystem and assess emerging technologies with governance and guardrails

Key requirements

• Strong knowledge representation and semantic technologies (OWL, RDF, SPARQL, JSON-LD, Turtle, N-Quads)
• Experience with graph/triple-store technologies (PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory, Neo4j)
• Ability to translate business needs into effective knowledge graph models
• Understanding of graph use cases and UI considerations for visualising complex graph data
• Strong communication skills and commitment to responsible technology practices
• Strong communication
• Business–technical bridging
• Clear explanation of complex concepts
• OWL
• RDF
• SWRL

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