Knowledge Graph & Semantics Consultant

Capco
London, United Kingdom
HybridCareer-pivot friendly

Who this role is best for

Aimed at mid-to-senior-level data consultants with expertise in semantic technologies who can bridge technical and business needs.

Best fit for

  • Mid-to-senior-level data consultants with semantic technologies expertise and business acumen
    — “Ability to combine business and technical understanding to explain, design and create effective knowledge graph models and solutions.”
  • Candidates with prior experience in semantic modeling and graph technologies like Neo4j or Stardog
    — “Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory or Neo4j.”
  • Individuals with a strong interest in AI-enabled workflows and responsible AI practices
    — “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.”

Things to consider

  • Requires maintaining human judgment and responsible AI guardrails in AI implementations
    — “with human-in-the-loop review and validation.”
  • Candidates should be prepared to develop thought leadership and contribute to practice growth
    — “Build Capco’s graph and semantic capabilities through thought leadership, talent development and contribution to practice growth.”

How to stand out

  • Demonstrate experience in connecting structured and unstructured data through semantic models
    — “Design and implement knowledge graph, semantic modelling and advanced data solutions that connect structured and unstructured information.”
  • Showcase ability to explain complex graph and semantic technologies to non-technical stakeholders
    — “Strong communication skills, with the ability to explain graph, semantic and AI-enabled approaches clearly.”
  • Highlight practical application of semantic technologies in real-world settings
    — “Practical experience applying semantic technologies in industry, academia, Library Science or Information/Knowledge Management.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and implement knowledge graph and semantic solutions
  • Identify and deliver practical use cases for graph and semantic technologies
  • Build Capco’s graph and semantic capabilities through thought leadership
Typical background
Strong understanding of knowledge representation and semantic technologiesExperience with semantic modelling and graph/triple-store technologiesAbility to combine business and technical understanding

Skills & requirements

Required

Knowledge RepresentationSemantic TechnologiesGraph And Triple-store TechnologiesAdvanced Data ManagementAi-enabled WorkflowsResponsible AI PracticesNLPMachine LearningSemantic Text MiningGraph Use CasesUser-interface Considerations

Preferred

Financial ServicesRegulatory ComplianceTransformation Challenges

Stack & domain

Knowledge GraphSemanticsOntologiesAdvanced AnalyticsAIGraph And Semantic TechnologiesData ManagementAi-enabled WorkflowsNLPMachine LearningSemantic Text MiningGraph Use CasesUser Interface ConsiderationsResponsible AIAutomationGuardrailsAuditabilityEscalationCommunicationProblem-solvingInfluenceStrategic ThinkingExecutionFinancial ServicesData SilosKnowledge RepresentationSemantic Technologies

About the role

Original posting from Capco via Greenhouse

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.

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 explain, design and create effective knowledge graph models and solutions.

Understanding of graph use cases and user-interface considerations, including the challenges associated with visualising complex graph data.

Strong communication skills, with the ability to explain graph, semantic and AI-enabled approaches clearly, while applying sound human judgement and responsible technology practices.

Bonus Points For

Knowledge of financial services and its data, regulatory and transformation challenges is seen as beneficial - we do however welcome experience from other industries.

Experience using NLP, machine learning and semantic text mining to support advanced analytics, classification, inference and knowledge extraction, including appropriate use of AI-enabled techniques.

Familiarity with mapping approaches such as R2RML, ETL techniques, data management and governance methodologies.

Programming experience with languages such as Python, Java or JavaScript, alongside Agile delivery frameworks such as Scrum, Kanban or Extreme Programming.

Practical experience applying semantic technologies in industry, academia, Library Science or Information/Knowledge Management, with curiosity about responsible Generative AI and Agentic AI applications where relevant.

Why Join Capco

Deliver high-impact technology and data solutions for Tier 1 financial institutions.

Work in a collaborative, flat, and entrepreneurial consulting culture.

Access continuous learning, training, and industry certifications.

Be part of a team shaping the future of digital financial services.

Help shape the future of digital transformation across financial services and energy.

Benefits

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.

Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.

Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.

Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.

Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.

Continuous Learning: Your growth, your way – minimum 40 hours of training annually. Choose from workshops, certifications and e-learning. You’ll also have a Business Coach assigned from Day One, providing one-to-one guidance to support your goals and accelerate your development.

Healthcare Access: Convenient online GP services.

Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LDN-DNI

Source: Capco careers (Greenhouse)

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