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For Companies At a Glance
- 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 space.
- Qualifications: Expertise in Neo4j, data science, and strong programming skills in Python.
- Other info: Dynamic team with opportunities for impactful career growth.
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.
Mission
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.
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.
Profile And Requirements
- 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 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.
What We Have To Offer You
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
Data Scientist : Graph Database & Ontology Specialist in London employer: TEKEVER
Contact Detail:
TEKEVER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist : Graph Database & Ontology Specialist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with TEKEVER employees on LinkedIn. A personal connection can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your graph database projects or any relevant data science work. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of Neo4j and graph algorithms. Be ready to discuss how you've applied these in real-world scenarios, as this will show you're the right fit for the role.
✨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 at TEKEVER. Plus, it shows you’re genuinely interested in joining our mission-driven team.
We think you need these skills to ace Data Scientist : Graph Database & Ontology Specialist in London
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 and ontologies, and don’t forget to showcase any relevant projects or achievements that align with our mission at TEKEVER.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for technology and how you can contribute to our innovative team. Be specific about why you want to work with us and how your skills fit the role.
Showcase Your Technical Skills: We’re looking for someone with strong technical expertise, so make sure to highlight your proficiency in Neo4j, Python, and any graph ML frameworks you’ve worked with. Include examples of how you've applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our mission-driven team!
How to prepare for a job interview at TEKEVER
✨Know Your Graphs
Make sure you brush up on your knowledge of graph databases, especially Neo4j. Be ready to discuss your experience with Cypher queries and how you've implemented graph solutions in the past. This is your chance to showcase your technical expertise!
✨Showcase Your Ontology Skills
Prepare to talk about your experience with ontology design and management. Think of specific examples where you've unified data from various sources and how that impacted decision-making. Highlighting your ability to create scalable ontologies will definitely impress them.
✨Demonstrate Cross-Functional Collaboration
TEKEVER values teamwork, so be ready to share examples of how you've worked with different teams to translate operational requirements into data models. Discuss any challenges you faced and how you overcame them to deliver robust solutions.
✨Be Ready for Practical Scenarios
Expect some practical questions or scenarios during the interview. They might ask you to solve a problem on the spot or explain how you would approach a specific project. Practising these types of questions can help you feel more confident and prepared.
