Data scientist lead
- Location
- Leeds, England, United Kingdom
model design; property graphs and RDF; graph schema evolution; knowledge representation; provenance; graph quality; entity and relationship resolution. Graph platforms: Deep implementation experience with Neo4j and Cypher ; working knowledge of at least one additional platform such as Amazon Neptune, TigerGraph , Azure Cosmos DB Gremlin, ArangoDB , or JanusGraph . Graph … data science: Neo4j Graph Data Science, NetworkX , PyTorch Geometric or DGL; graph embeddings, pathfinding, similarity, clustering, link prediction, node classification, anomaly detection, and GNN development. Programming and engineering: Advanced Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging ...