At a Glance
- Tasks: Lead the design and deployment of innovative knowledge graphs and semantic systems.
- Company: A top data organisation in the UK with a focus on transformation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make a significant impact in data transformation while working with cutting-edge technology.
- Qualifications: 5+ years in knowledge graph solutions and strong Python skills required.
- Other info: Join a dynamic team and shape the future of data compliance.
The predicted salary is between 48000 - 72000 £ per year.
A leading data organization in the UK is seeking a Lead Knowledge Graph / Ontology Engineer to take technical ownership of their data transformation initiative. The role involves leading the design and deployment of knowledge graphs, embedding semantic reasoning into systems, and ensuring compliance with data regulations.
Ideal candidates have over 5 years of experience in knowledge graph solutions, strong expertise in semantic web standards, and advanced skills in Python. The position allows for a hybrid working model near Chester.
Remote Lead Knowledge Graph Architect | Ontology & AI in Chester employer: GBV Ltd
Contact Detail:
GBV Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Lead Knowledge Graph Architect | Ontology & AI in Chester
✨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 for you, especially in niche fields like knowledge graphs and AI.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects related to knowledge graphs and semantic web standards. We love seeing real-world applications of your expertise, so make sure to highlight your Python prowess!
✨Tip Number 3
Prepare for those interviews! Research the company’s data transformation initiatives and think about how your experience aligns with their goals. We recommend practising common interview questions and having a few of your own ready to show your interest.
✨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 looking for passionate candidates who are eager to lead in the world of knowledge graphs.
We think you need these skills to ace Remote Lead Knowledge Graph Architect | Ontology & AI in Chester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with knowledge graphs and semantic web standards. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data transformation and how your background makes you the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills: Since we’re looking for someone with advanced Python skills, make sure to mention any relevant projects or experiences. If you’ve worked on embedding semantic reasoning into systems, we want to hear about it!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at GBV Ltd
✨Know Your Knowledge Graphs
Make sure you brush up on your knowledge graph concepts and recent advancements in the field. Be ready to discuss specific projects you've worked on, especially those involving semantic reasoning and compliance with data regulations.
✨Showcase Your Python Skills
Since advanced Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain how you've used Python in your previous projects, so have some examples ready.
✨Understand the Company’s Data Initiatives
Research the company’s current data transformation initiatives and be prepared to discuss how your experience aligns with their goals. This shows that you’re genuinely interested in the role and understand the challenges they face.
✨Prepare Questions About the Role
Interviews are a two-way street, so think of insightful questions to ask about the team dynamics, the tools they use, and their vision for the knowledge graph project. This not only demonstrates your enthusiasm but also helps you gauge if it’s the right fit for you.