Knowledge Graph & Semantics Consultant

About the role

Capco is looking for a Knowledge Graph & Semantics Consultant in London (hybrid) within its Data & Analytics practice. Financial services firms struggle to turn complex data into usable knowledge, and graph and semantic engineering are emerging technologies that use ontologies, advanced analytics and AI to represent knowledge expressively. As a consultant you will help clients understand, design and implement graph and semantic solutions, while exploring how approved AI tools and automation can speed delivery while keeping human judgement and responsible AI guardrails.

Key responsibilities

• 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, with human-in-the-loop review and validation.
• Build Capco's graph and semantic capabilities through thought leadership, talent development and practice growth.
• Develop relationships across the graph technology ecosystem and assess emerging technologies, including responsible AI, automation, guardrails, auditability and escalation.

Required profile

• Strong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads.
• Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory or Neo4j.
• Ability to combine business and technical understanding to design effective knowledge graph models and solutions.
• Understanding of graph use cases and UI considerations, including visualising complex graph data.
• Strong communication skills and sound human judgement.
• Bonus: knowledge of financial services data and regulation, NLP, machine learning and semantic text mining, mapping approaches such as R2RML, programming in Python, Java or JavaScript, and experience applying semantic technologies in industry, academia or library science.

What we offer

• Discretionary bonus, pension, health, life and critical illness insurance.
• Mental health support and family-friendly leave, including maternity, adoption, shared parental and bereavement leave.
• 8 complimentary backup care sessions and 5 weeks of annual leave.
• Minimum 40 hours of training per year and a Business Coach from Day One.
• Gympass, travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.