01
TRCI-26-06867
Senior Data Scientist – Ontology & Semantic Modeling
This contract role focuses on designing and maintaining enterprise ontologies, taxonomies, and semantic models that turn complex domain concepts and business rules into structured, validated data. The core requirements are hands-on knowledge of OWL, RDF/RDFS, SPARQL, SHACL, and SKOS; Python; and experience building enterprise ontologies or semantic layers and working with knowledge graphs. The person will also establish ontology governance and collaborate with business stakeholders, Knowledge Graph Engineers, and Agentic AI Engineers to provide trusted context for LLM and GraphRAG workflows. The description specifies 5+ years of relevant experience, while the structured input gives a 5–8 year band. The location is Europe and employment is contract; work mode is not specified, and the named complex domains are examples rather than a confirmed industry assignment.
Position summary
- Location
- Europe
- Workplace
- Remote
- Employment
- Contract
- Experience
- Minimum 5 years and Maximum 8 years
Role overview
Why This Role Matters.
This contract role focuses on designing and maintaining enterprise ontologies, taxonomies, and semantic models that turn complex domain concepts and business rules into structured, validated data. The core requirements are hands-on knowledge of OWL, RDF/RDFS, SPARQL, SHACL, and SKOS; Python; and experience building enterprise ontologies or semantic layers and working with knowledge graphs. The person will also establish ontology governance and collaborate with business stakeholders, Knowledge Graph Engineers, and Agentic AI Engineers to provide trusted context for LLM and GraphRAG workflows. The description specifies 5+ years of relevant experience, while the structured input gives a 5–8 year band. The location is Europe and employment is contract; work mode is not specified, and the named complex domains are examples rather than a confirmed industry assignment.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Translate complex business rules, domain concepts, and entity relationships into structured semantic models.
03
Collaborate closely with Knowledge Graph Engineers and Agentic AI Engineers to ground LLM workflows and GraphRAG pipelines in trusted enterprise context.
04
Establish ontology governance, versioning standards, and validation rules across cross-functional data sources.
05
Align enterprise semantic layers with analytical platforms (Databricks) and operational CRM ecosystems.
06
5+ years of experience in Data Science, Semantic Web technologies, or Ontology Engineering.
07
Hands-on expertise with semantic standards and query languages (OWL, RDF, SPARQL, SHACL, SKOS).
08
Proven experience building enterprise ontologies or semantic layers for complex domains (e.g., Life Sciences, Healthcare, Finance, or Supply Chain).
09
Strong programming skills in Python and familiarity with graph databases and knowledge graph workflows.
10
Excellent communication skills to elicit domain knowledge from business stakeholders and translate it into formal specifications.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
OWL
Required
02
Web Ontology Language
Required
03
RDF
Required
04
Resource Description Framework
Required
05
RDFS
Required
06
RDF Schema
Required
07
SPARQL
Required
08
SHACL
Required
09
SKOS
Required
10
Python
Required
11
Semantic Web
Required
12
Ontology Engineering
Required
13
Taxonomy
Required
14
Semantic Modeling
Required
15
Semantic Layer
Required
16
Knowledge Graph
Required
17
Graph Database
Required
18
GraphRAG
Required
19
LLM grounding
Required
20
Agentic AI
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Ontology engineering and formal domain modeling
OWL
RDF and RDFS
SPARQL
SHACL
SKOS
Enterprise ontology or semantic-layer development
Python programming
Graph databases and knowledge graph workflows
Ontology governance, versioning, and validation
Stakeholder knowledge elicitation and translation into formal specifications
Preferred
Nice to Have
GraphRAG and LLM grounding
Agentic AI workflow collaboration
Databricks alignment
CRM ecosystem integration
Experience in a complex domain such as Life Sciences, Healthcare, Finance, or Supply Chain
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Senior Data Scientist – Ontology & Semantic Modeling
One page, about two minutes. We only ask for what we actually need to have a first conversation.