GL Global
Senior Knowledge Graph Consultant - Semantic Technologies / Enterprise Data & AI

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Senior Knowledge Graph Consultant - Semantic Technologies / Enterprise Data & AI
Are you passionate about building cutting-edge data solutions that power AI and enterprise decision-making? We're looking for a Senior Knowledge Graph Consultant to join a high-impact team delivering enterprise-scale semantic data platforms for complex, data-driven organisations.
This is an opportunity to work on innovative projects where you'll design and implement Knowledge Graphs, shape enterprise data models, and help organisations unlock the value of connected data for analytics, automation, and AI.
You'll work closely with business and technical stakeholders to design scalable semantic solutions, develop ontologies and data models, and advise on best practices across knowledge management and enterprise data strategy.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You'll Be Doing
- Design and implement enterprise Knowledge Graph solutions.
- Develop conceptual, logical, and physical data models.
- Build ontologies, taxonomies, and semantic models to represent complex business domains.
- Integrate structured and unstructured data into scalable graph platforms.
- Define metadata, governance, and semantic modelling standards.
- Work with stakeholders to gather requirements and translate them into technical solutions.
- Support AI and advanced analytics initiatives through semantic data modelling.
- Produce architecture documentation, solution designs, and implementation roadmaps.
- Provide consulting expertise and help shape enterprise data strategy.
Experience
- Strong commercial experience designing and implementing Knowledge Graphs.
- Expertise in Data Modelling and Ontology Development.
- Experience with semantic web technologies including RDF, RDFS, OWL, SKOS, and SPARQL.
- Strong understanding of metadata management and data governance.
- Excellent stakeholder management and consulting skills.


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Nice to Have
- Experience with graph databases such as Neo4j, Amazon Neptune, Stardog, or Ontotext GraphDB.
- Knowledge of AI/ML use cases leveraging Knowledge Graphs.
- Experience with Azure, AWS, or Google Cloud.
- Background delivering enterprise data strategy or digital transformation programmes.
If you're passionate about semantic technologies, enterprise data architecture, and AI, and want to work on projects at the forefront of Knowledge Graph innovation, we'd love to hear from you.
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Jessica, London
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