Knowledge Graph Engineer at WPP in Copenhagen, Capital Region, Denmark

WPP is the trusted growth partner for the world’s leading brands.
We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.

We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.

Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.

For more information, visit WPP.com.
Why we're hiring:
About Data & Technology Solutions
WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data data-driven solutions and technology product to power marketing transformation.
WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost.
We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world.
What you'll be doing:
Work with development teams to effectively use the existing Knowledge Graph
Translate product and business requirements into graph-based data solutions
Extend and adapt schemas in collaboration with architects when needed
Ensure data consistency and correct usage patterns across applications
GRAPH MACHINE LEARNING & AI INTEGRATION
Develop graph-based ML models: node embeddings, link prediction, and GNNs
Integrate knowledge graphs with AI/LLM-driven applications
Build solutions for semantic search, entity resolution, and recommendation systems
BACKEND SYSTEMS & APIS
Build and maintain high-performance APIs for graph-powered services
Collaborate with engineering to design scalable, production-grade systems
Optimize processing and querying of large datasets
DATA STRATEGY & INNOVATION
Identify opportunities to leverage graph intelligence for marketing technology
Partner with cross-functional teams to translate business problems into graph-based solutions
Drive innovation in AI, semantic technologies, and AdTech applications
KNOWLEDGE SHARING
Support engineers in understanding how to use the graph effectively
Participate in technical discussions and solution design
Contribute to documentation and usage guidelines
Who you'll be working with:
What you'll need:
We are seeking a highly skilled and experienced Senior Data Scientist – Knowledge Graph Expert to join our Data & Technology Solutions team. This individual will play a critical role in designing, building, and scaling enterprise-grade knowledge graph systems that power next-generation marketing intelligence, including the WPP Open AI platform.
If you are passionate about graph data modelling, semantic technologies, AI-driven insights, and building high-performance backend systems for large-scale marketing ecosystems, we would love to hear from you.
You have:
Experience working with existing Knowledge Graphs in production environments
Understanding of data modelling concepts and entity relationships (not necessarily designing from scratch)
Hands-on experience querying graph databases
Working knowledge of graph query languages such as Cypher or SPARQL
Familiarity with semantic data concepts (RDF/OWL or similar — practical level)
General understanding of machine learning concepts
Interest in graph analytics or applied graph ML (e.g., recommendations, similarity, traversal-based features)
Familiarity with NLP or large language models at integration/usage level
Experience integrating data platforms or APIs across systems
Experience working with graph databases (e.g., Neo4j, Amazon Neptune)
Ability to write and optimize graph queries (Cypher/SPARQL or similar)
Understanding of relationships-based data modelling concepts
Experience integrating data between systems using APIs
Practical familiarity with semantic or connected data (RDF/OWL or similar — not required at expert level)
If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team.
Who you are:
You're open:We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic:We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you:
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?
#LI-Hybrid
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.