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- Tasks: Design and deploy graph solutions connecting UAVs, sensors, and processes.
- Company: European leader in unmanned technology with a focus on innovation.
- Benefits: Competitive salary based on experience and a collaborative work environment.
- Why this job: Join a team innovating in defence and security technologies.
- Qualifications: Experience in data modeling, Python programming, and a passion for reliable systems.
- Other info: Dynamic role with opportunities for growth in cutting-edge technology.
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 in London 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 in London
✨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. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data modelling and Python programming. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of graph solutions and UAV technologies. Practice common interview questions and think about how your experience aligns with the role. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our innovative team in defence and security technologies.
We think you need these skills to ace Graph Data Scientist: Ontologies, Neo4j & Production ML in London
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. Let us know why you’re excited about working in defence and security technologies.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with creative solutions, especially in a collaborative setting like ours.
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. Plus, it shows you’re keen on joining our 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 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 environments. Share examples of how you've worked with cross-functional teams to innovate and deploy reliable systems in the past.
