Ontologist

Ontologist

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and maintain ontologies to enhance knowledge management in logistics.
  • Company: Join Acargo, a tech-driven company revolutionising logistics with AI and automation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams in a dynamic environment focused on innovation.
  • Why this job: Make a real impact on logistics efficiency while working with cutting-edge technologies.
  • Qualifications: Expertise in Ontology Engineering and familiarity with Semantic Web technologies required.

The predicted salary is between 36000 - 60000 £ per year.

Acargo is developing an intelligent operating system for logistics that connects shippers and operators to move goods more efficiently and instantly. By leveraging AI, data, and automation, the platform removes barriers in transport, pricing, and coordination. Acargo envisions creating a self-optimizing logistics network aimed at empowering trade and mobility in emerging markets and beyond. The company is committed to revolutionizing the logistics industry with technology-driven solutions.

This is a full-time hybrid Ontologist role based in Santo Domingo or London, with an option for partial remote work. The Ontologist will be responsible for developing and maintaining ontologies, managing knowledge representation, and implementing best practices in semantic web technologies and metadata architecture. The role involves improving and organizing data relationships, taxonomy structures, and advancing the company's knowledge management systems. Collaboration with cross-functional teams to align ontology engineering with broader business goals is a key aspect of this position.

Qualifications

  • Expertise in Ontology Engineering, Knowledge Management, and their application in practical contexts
  • Experience with Semantic Web technologies, including RDF, OWL, and SPARQL
  • Strong understanding of Metadata standards and Taxonomy development
  • Familiarity with data modeling, classification systems, and data relationships
  • Analytical thinking skills and the ability to solve complex problems using structured approaches
  • Proven ability to work independently in a hybrid work environment
  • Bachelor's or Master's degree in Computer Science, Information Science, Engineering or Physics
  • Experience in logistics or supply chain industries is a plus

Ontologist employer: Acargo

Acargo is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to contribute to the future of logistics through cutting-edge technology. With a strong commitment to employee growth, Acargo offers opportunities for professional development and collaboration in a hybrid work environment, allowing for flexibility while working on impactful projects. Located in vibrant cities like Santo Domingo and London, employees enjoy a stimulating atmosphere that encourages creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding careers.

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Contact Details:

Acargo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Ontologist

Tip Number 1

Network like a pro! Reach out to people in the logistics and tech industries on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your knowledge.

Tip Number 2

Prepare for interviews by brushing up on your ontology engineering skills. Be ready to discuss how you've applied semantic web technologies in real-world scenarios. We want to see your problem-solving skills in action!

Tip Number 3

Show your passion for logistics and technology during interviews. Share your thoughts on how AI and data can revolutionise the industry. This will help you stand out as someone who truly cares about the field.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Ontologist

Ontology Engineering
Knowledge Management
Semantic Web Technologies
RDF
OWL
SPARQL
Metadata Standards

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Ontologist role. Highlight your experience with ontology engineering and semantic web technologies, as these are key for us at Acargo. Use specific examples that showcase your skills in knowledge management and data relationships.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about logistics and how your background aligns with our mission. Be sure to mention any relevant projects or experiences that demonstrate your analytical thinking and problem-solving skills.

Showcase Your Technical Skills:Don’t forget to highlight your technical expertise! Mention your familiarity with RDF, OWL, and SPARQL, as well as any experience with metadata standards and taxonomy development. This will help us see how you can contribute to our tech-driven 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 ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!

How to prepare for a job interview at Acargo

Know Your Ontologies

Make sure you brush up on your ontology engineering skills before the interview. Be ready to discuss specific ontologies you've developed or worked with, and how they relate to knowledge management. This will show that you understand the core of what the role entails.

Familiarise Yourself with Semantic Web Technologies

Since the role involves working with RDF, OWL, and SPARQL, it’s crucial to have a solid grasp of these technologies. Prepare examples of how you've used them in past projects, as this will demonstrate your practical experience and technical expertise.

Showcase Your Analytical Skills

Be prepared to tackle some complex problem-solving scenarios during the interview. Think of examples where you've used structured approaches to solve issues related to data relationships or taxonomy development. This will highlight your analytical thinking skills, which are essential for the role.

Emphasise Collaboration Experience

Collaboration is key in this position, so be ready to discuss how you've worked with cross-functional teams in the past. Share specific instances where your contributions aligned with broader business goals, showcasing your ability to work effectively in a hybrid environment.