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Knowledge Graph & Semantics Consultant

CapcoUK - LondonData & Analytics
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Salary
Not listed
Job type
Full-time
Experience
Mid
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

Based in London with hybrid working arrangements, the Knowledge Graph & Semantics Consultant role at Capco involves designing and implementing advanced data solutions to help financial services clients extract value from complex information. This permanent position suits a technology professional with a strong background in semantic modeling and graph technologies who wants to shape digital transformation initiatives.

Role Overview

Capco seeks a Knowledge Graph & Semantics Consultant to join the Data & Analytics practice on a permanent basis in London. The position focuses on turning complex data into connected knowledge for financial services organizations using graph engineering, ontologies, and artificial intelligence. The consultant will guide clients through the design and implementation of semantic solutions while contributing to the internal growth of the firm's data capabilities.

Key Responsibilities

Design and implement knowledge graph, semantic modeling, and advanced data solutions connecting structured and unstructured information.
Help clients identify and deliver practical use cases for graph technologies, advanced analytics, and artificial intelligence.
Utilize approved AI tools and workflows to accelerate delivery while maintaining human-in-the-loop review and validation.
Build internal capabilities through thought leadership, talent development, and contribution to practice growth.
Develop relationships within the graph technology ecosystem to assess emerging solutions, responsible artificial intelligence approaches, and automation guardrails.

Requirements

Strong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, and N-Quads.
Experience with semantic modeling and graph or triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory, or Neo4j.
Ability to combine business and technical understanding to create effective knowledge graph models and solutions.
Understanding of graph use cases and user-interface considerations, including data visualization challenges.
Strong communication skills to explain technical approaches clearly while applying sound human judgment.

Nice to Have

Knowledge of financial services data, regulations, and transformation challenges, alongside cross-industry experience.
Experience using natural language processing, machine learning, and semantic text mining for advanced analytics and knowledge extraction.
Familiarity with mapping approaches like R2RML, ETL techniques, and data governance methodologies.
Programming experience in Python, Java, or JavaScript, alongside Agile frameworks such as Scrum, Kanban, or Extreme Programming.
Practical semantic technology application in industry, academia, Library Science, or Information Management, with curiosity about Generative and Agentic artificial intelligence.

Skills and Tools

OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads
PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory, Neo4j
R2RML, ETL methodologies, data management and governance
Python, Java, JavaScript
Scrum, Kanban, Extreme Programming
Natural language processing, machine learning, semantic text mining

Salary and Benefits

Discretionary bonus and competitive pension scheme
Health insurance, life insurance, critical illness cover, and online GP services
Mental health support via CareFirst, Unmind, and Aviva consultations
Family-friendly policies including maternity, adoption, shared parental leave, and specialized paid leave
Eight complimentary backup care sessions for emergency childcare or elder care
Five weeks of annual leave with options to buy or sell days
Minimum 40 hours of annual training, certifications, and a dedicated Business Coach
Extra perks including Gympass, travel insurance, Tastecard, season ticket loans, Cycle to Work scheme, and dental insurance

About the Company

Capco is a permanent consulting organization specializing in digital transformation and data solutions for Tier 1 financial institutions and energy clients. The firm operates within a collaborative, flat, and entrepreneurial consulting culture that emphasizes individual perspectives through its inclusive workplace ethos.

How to Apply

Interested candidates should visit the official Capco careers page to submit an application for this permanent position.

Skills and tech stack

Questions candidates ask

Where is the position located?

The role is based in London with hybrid working arrangements.

What core technical knowledge is required?

Candidates need a strong understanding of knowledge representation and semantic technologies including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, and N-Quads, as well as experience with graph or triple-store technologies like Neo4j, Stardog, or TigerGraph.

Is financial services experience mandatory?

Financial services knowledge is beneficial, but the firm also welcomes experience from other industries.

What professional development support is provided?

Employees receive a minimum of 40 hours of annual training, access to workshops and certifications, a dedicated Business Coach from day one, and continuous learning opportunities.

What benefits are included with the role?

Core benefits include a discretionary bonus, competitive pension, health insurance, life insurance, critical illness cover, mental health resources, family care support, holiday flexibility, and various lifestyle perks.

Ready to apply?

The application is on the official Capco careers page.

Apply on company site