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- Tasks: Design and deploy graph solutions to model complex relationships across various domains.
- Company: Join TEKEVER, a leader in unmanned technology and innovation in Europe.
- Benefits: Competitive salary, excellent work environment, and the chance to make a real difference.
- Why this job: Shape the future of technology while tackling global challenges in defence and security.
- Qualifications: Expertise in Neo4j, data science, and strong programming skills in Python.
- Other info: Dynamic team with opportunities for growth and impactful projects.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to revolutionise the world with TEKEVER? At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation. We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space. We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace.
Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making. If you’re passionate about technology and eager to shape the future — TEKEVER is the place for you.
MissionWe 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.
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.
- 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.
- 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.
MSc in Computer Science, Data Science, or a related engineering field (PhD welcome, but practical delivery is prioritized).
Profile We’re 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.
An excellent work environment and an opportunity to make a difference; Salary compatible with the level of proven experience.
Do you want to know more about us? Visit our LinkedIn page at TEKEVER LinkedIn.
Data Scientist : Graph Database & Ontology Specialist employer: TEKEVER
Contact Detail:
TEKEVER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist : Graph Database & Ontology Specialist
✨Tip Number 1
Network like a pro! Reach out to current employees at TEKEVER on LinkedIn. A friendly message can go a long way in getting insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by diving deep into graph databases and ontologies. Brush up on Neo4j and Cypher queries, and be ready to discuss how you can apply your skills to real-world problems at TEKEVER.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data science or graph database projects, make sure to highlight them during interviews. Real examples can demonstrate your expertise and passion.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the TEKEVER team.
We think you need these skills to ace Data Scientist : Graph Database & Ontology Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with graph databases, Neo4j, and any relevant projects that showcase your skills in ontology design and data integration.
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for technology and how you can contribute to TEKEVER's mission. Share specific examples of your work with graph algorithms and production deployment to make your application stand out.
Showcase Your Technical Skills: Don’t forget to list your technical proficiencies clearly. Mention your expertise in Python, graph ML frameworks, and any experience with Docker or REST APIs. This will help us see how you fit into our tech stack.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at TEKEVER
✨Know Your Graphs Inside Out
Make sure you brush up on your Neo4j expertise and be ready to discuss your experience with graph databases. Be prepared to explain how you've designed and optimised schemas, and have examples of high-performance Cypher queries you've written.
✨Showcase Your Ontology Skills
Since ontology design is key for this role, come armed with specific examples of scalable ontologies you've created. Discuss how these ontologies helped unify data and improved decision-making processes in previous projects.
✨Demonstrate Cross-Functional Collaboration
TEKEVER values teamwork, so be ready to share experiences where you've translated operational requirements into robust data models. Highlight any instances where your collaboration led to successful project outcomes.
✨Prepare for Technical Questions
Expect questions on production engineering, especially around Docker, REST APIs, and CI/CD pipelines. Brush up on your Python skills and be ready to discuss how you've integrated graph models into production environments.
