Quick Summary
Work with development teams to effectively use the existing Knowledge Graph Translate product and business
node embeddings, link prediction, and GNNs Integrate knowledge graphs with AI/LLM-driven applications Build solutions for semantic search, entity resolution,
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
- 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
- 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
- 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
- Support engineers in understanding how to use the graph effectively
- Participate in technical discussions and solution design
- Contribute to documentation and usage guidelines
What you'll need:
We are seeking a highly skilled and experienced Knowledge Graph Expert with Data Scientist mindset 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.
- 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:
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- August 13, 2026
- First seen
- August 13, 2026
- Last seen
- August 13, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- August 13, 2026
Signal breakdown
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