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- Tasks: Design and deploy graph solutions connecting UAVs, sensors, and processes.
- Company: Leading European firm in unmanned technology with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in defense and security technologies.
- Qualifications: Experience in data modeling, Python programming, and a passion for reliable systems.
- Other info: Dynamic workplace with a strong emphasis on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A European leader in unmanned technology is seeking a Data Scientist with expertise in Knowledge Graphs and Neo4j. In this role, you will design and deploy graph solutions connecting UAVs, sensors, and processes across the organization.
Ideal candidates have strong experience in data modeling, Python programming, and a passion for deploying reliable systems. This position offers a collaborative environment focused on innovation in defense and security technologies, along with a competitive salary based on experience.
Graph Data Scientist: Ontologies, Neo4j & Production ML employer: TEKEVER
Contact Detail:
TEKEVER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graph Data Scientist: Ontologies, Neo4j & Production ML
✨Tip Number 1
Network like a pro! Reach out to professionals in the unmanned technology field on LinkedIn. Join relevant groups and engage in discussions about Knowledge Graphs and Neo4j. This can help us get our foot in the door and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data modelling and Python programming. We can use platforms like GitHub to share our work, making it easier for potential employers to see what we can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to graph solutions and production ML. We should also be ready to discuss our experience with UAVs and sensors, as this will show our passion for the role and the industry.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our applications to highlight our expertise in Knowledge Graphs and Neo4j, making us stand out from the crowd.
We think you need these skills to ace Graph Data Scientist: Ontologies, Neo4j & Production ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Knowledge Graphs and Neo4j. We want to see how your skills in data modelling and Python programming align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for deploying reliable systems and how you can contribute to our innovative environment. We love seeing candidates who are genuinely excited about the work we do.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex problems in previous roles. We’re looking for someone who can connect UAVs, sensors, and processes, so demonstrate your analytical thinking and creativity!
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’re considered for this exciting opportunity. Plus, it’s super easy!
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 prepared to discuss how you've used these technologies in past projects and how they can be applied to connect UAVs and sensors effectively.
✨Showcase Your Python Skills
Since Python programming is key for this role, come ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be familiar with libraries like Pandas and NetworkX.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would design a graph solution for a specific challenge within unmanned technology and be ready to explain your thought process.
✨Emphasise Collaboration
This role is all about working in a team, so highlight your experience in collaborative projects. Share examples of how you've worked with cross-functional teams to innovate and deploy reliable systems, particularly in defence and security contexts.
