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Data ScientistGM Analytic Software • Bristol, England, United Kingdom
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Data Scientist

GM Analytic Software
  • GB
    Bristol, England, United Kingdom
  • GB
    Bristol, England, United Kingdom
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À propos

Data Scientist : Graph database and ontology specialist We are seeking a Data Scientist with deep expertise in Knowledge Graphs and Ontologies and the ability to work across domains. You will design and deploy production-grade graph solutions that model relationships not only between UAVs, missions, and sensors, but across company processes end-to-end: from operations and production to HR and delivery. Your work will provide a transversal view of how data and processes interconnect, powering insights and decision-making across the organization.
Key Responsibilities
Ontology Design & Management: Design and maintain scalable ontologies to unify mission data, sensor outputs, flight logs, and operational parameters.
Graph Engineering (Neo4j): Implement, optimize, and operate Neo4j schemas; write high-performance Cypher queries and ensure production scalability.
Graph Data Science: Apply graph algorithms (e.g., centrality, pathfinding, community detection) and graph ML to derive actionable insights.
Production Deployment: Move solutions from research to production (TRL > 6); integrate graph models into APIs and pipelines with reliability and latency constraints.
Data Integration: Build ingestion pipelines for structured and unstructured data into the Knowledge Graph.
Cross-Functional Collaboration: Translate operational and domain requirements into robust data and graph models.
Requirements Technical Skills
Graph Databases: Advanced Neo4j expertise, including architecture, drivers, administration, and Cypher.
Ontology & Semantics: Strong experience with data modeling, ontologies, and semantic technologies (RDF, OWL, SPARQL).
Programming: High proficiency in Python (pandas, networkx, py2neo, neo4j-driver).
Graph ML: Experience with Neo4j GDS or frameworks such as PyTorch Geometric or DGL.
Production Engineering: Hands‑on experience with Docker, REST APIs (FastAPI/Flask), and CI/CD pipelines.
Core Data Science Profile
3+ years of experience in Data Science or Data Engineering.
Experience with NLP for entity and relationship extraction is a plus.
Strongly skilled in standard ML workflows (Scikit‑Learn, XGBoost).
Experience with geospatial data (GIS, GeoPandas) is valued.
Education
MSc in Computer Science, Data Science, or a related engineering field (PhD welcome, but practical delivery is prioritized).
Profile Were Looking For
Production Builder: You focus on deploying reliable systems, not just experiments.
Versatile Specialist: Deep in graph technologies, comfortable across the full data stack when needed.
Structured Thinker: You value strong data models, data quality, and long‑term maintainability.
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  • Bristol, England, United Kingdom

Compétences linguistiques

  • English
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