Knowledge Graph & Semantics Consultant

London Source: WhatJobs

See advert for pay

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