Knowledge Graph & Semantics Consultant
Core
Design and implement knowledge graph and semantic modeling solutions to connect structured and unstructured data for financial services firms, enabling smarter decisions and AI-driven insights.
Role type
Senior IC Knowledge Graph & Semantics Consultant
Builds
Knowledge graph models, semantic solutions, and AI-enabled workflows for financial institutions
Domain
Financial services, Data & Analytics, Knowledge Graphs, Semantics
Deliverable
production ML models
Required skills
Knowledge representation (OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads), Graph/triple-store technologies (PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory, Neo4j), Business-technical translation, Graph visualization, Responsible AI practices
Preferred skills
NLP, machine learning, semantic text mining, R2RML, ETL, data governance, Python, Java, JavaScript, Agile frameworks (Scrum, Kanban, XP), Industry experience (Financial services, Library Science, Information Management)
Responsibilities
Design and implement knowledge graph and semantic modeling solutions; Identify and deliver practical use cases for graph and semantic technologies; Use AI tools and workflows to accelerate research and delivery with human-in-the-loop review; Build practice capabilities through thought leadership and talent development; Develop relationships in the graph technology ecosystem and assess emerging technologies
Seniority
Senior, hands-on IC