UK remote
Knowledge Graph & Semantics Consultant
About this role
Knowledge Graph & Semantics Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Turn complex data into connected knowledge that drives smarter decisions. The Role Financial services firms face significant challenges – and opportunities – in how they manage and extract value from increasingly complex data. Their ability to compete, comply and transform depends on connecting information across data silos and turning it into knowledge that people and machines can meaningfully understand.
Graph and Semantics Engineering are emerging enterprise data technologies that use ontologies, advanced analytics and AI to represent knowledge in expressive and innovative ways. Next-generation AI systems powered by knowledge graphs can help organisations manage complexity, provide greater context and deliver more explainable outcomes. As a Knowledge Graph & Semantics Consultant, you’ll help our clients understand, design and implement solutions using graph and semantic technologies, advanced data management and analytics.
You’ll also explore how approved AI tools, automation and AI-enabled workflows can improve the speed, quality and insight of delivery, while maintaining appropriate human judgement, review and responsible AI guardrails. You’ll contribute to the continued growth of Capco’s Data & Analytics practice, helping develop our capabilities, talent and thinking around how graph and semantic technologies can create value for financial services organisations.
What You’ll Do Design and implement knowledge graph, semantic modelling and advanced data solutions that connect structured and unstructured information. Help clients identify and deliver practical use cases for graph and semantic technologies, advanced analytics and AI. Use approved AI tools and AI-enabled workflows where appropriate to accelerate research, modelling, analysis and delivery, with human-in-the-loop review and validation.
Build Capco’s graph and semantic capabilities through thought leadership, talent development and contribution to practice growth. Develop relationships across the evolving graph technology ecosystem and assess emerging technologies, including responsible approaches to AI, automation, guardrails, auditability and escalation. What We’re Looking For Strong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads.