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- Tasks: Design and deploy Knowledge Graph solutions to connect diverse data across the business.
- Company: Flexible work environment with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Transform complex data into actionable insights that influence real-world decisions.
- Qualifications: 3+ years in Data Science, Neo4j expertise, and experience with graph ML.
- Other info: Join a dynamic team and enjoy excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: Flexible, with once-a-week in Bristol (or less if further away)
Security: Must be eligible for SC Clearance (British citizen or UK resident for last 5 years)
About the Role
We’re looking for a Data Scientist to design and deploy production-grade Knowledge Graph solutions that connect data business wide, from UAV missions and sensor data to operations, production, and HR. You’ll build ontologies, implement Neo4j schemas, and apply graph ML to deliver actionable insights that guide strategic and operational decisions.
Key Responsibilities
- Design, maintain, and scale ontologies to unify mission, sensor, and operational data
- Build and optimize Neo4j schemas; write high-performance Cypher queries
- Apply graph algorithms and ML to derive actionable insights
- Move solutions from research to production, integrating with APIs and pipelines
- Collaborate across teams to translate domain requirements into robust graph models
- Build data ingestion pipelines for structured and unstructured data
What We’re Looking For
- 3+ years in Data Science or Data Engineering
- Neo4j/graph database expertise, including architecture, administration, and Cypher
- Experience with ontologies and semantic technologies (RDF, OWL, SPARQL)
- Graph ML experience (Neo4j GDS, PyTorch Geometric, DGL)
- Experience with geospatial data (GIS, GeoPandas) is a plus
If you love turning complex, connected data into actionable insights that drive real-world decisions, click apply.
Data Scientist - Knowledge Graphs & Ontologies in Bristol employer: Revoco
Contact Detail:
Revoco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Knowledge Graphs & Ontologies in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Neo4j and graph ML. We love seeing real-world applications of your expertise, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of ontologies and semantic technologies. We want to see you confidently discuss how you’d tackle our data challenges, so practice makes perfect!
✨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, we’re always on the lookout for passionate candidates like you!
We think you need these skills to ace Data Scientist - Knowledge Graphs & Ontologies in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Neo4j, graph databases, and any relevant projects that showcase your skills in building ontologies and applying graph ML.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Be sure to include any technical skills that are relevant to the role, like your expertise in Cypher queries or experience with geospatial data. We want to see how you can contribute to our Knowledge Graph solutions!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Revoco
✨Know Your Graphs
Make sure you brush up on your knowledge of Neo4j and graph databases. Be ready to discuss your experience with Cypher queries and how you've optimised schemas in past projects. This is your chance to showcase your technical skills!
✨Showcase Your Ontology Skills
Prepare examples of how you've designed and maintained ontologies in previous roles. Think about specific challenges you faced and how you overcame them. This will demonstrate your ability to unify complex data sets effectively.
✨Understand the Business Impact
Be ready to explain how your work with data science has led to actionable insights in a business context. Think about how your contributions have guided strategic decisions and be prepared to share those stories.
✨Collaborate and Communicate
Since collaboration is key in this role, think of examples where you've worked across teams to translate domain requirements into robust models. Highlight your communication skills and how they helped bridge gaps between technical and non-technical stakeholders.
