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- Tasks: Analyse and enrich product data while collaborating with engineers on innovative classification systems.
- Company: Join a global tech leader in e-commerce and machine learning.
- Benefits: Remote work, competitive salary, and potential for contract extension.
- Why this job: Make an impact in the evolving world of e-commerce and AI.
- Qualifications: 2+ years in taxonomy development and strong attention to detail.
- Other info: Opportunity to work in a dynamic team with a focus on innovation.
The predicted salary is between 43200 - 72000 £ per year.
Contract length: Due to run until 31/12/2026 with potential to extend
Salary: £72,000
Location: Remote in the UK
About the Role
We are supporting a global technology organisation that operates large-scale ecommerce and catalog systems used to power machine learning, discovery, and product classification. This role joins a specialist taxonomy team working on product metadata enrichment, normalization, and cross-taxonomy mapping. The position is delivery-focused and suited to a hands-on taxonomist who enjoys structured, detail-oriented work.
Key Responsibilities
- Analyse product and catalog data to identify exact and fuzzy matches
- Enrich and normalize product metadata such as brand and attributes
- Map data across multiple taxonomies and vocabularies
- Apply taxonomy governance standards consistently
- Work closely with engineers and ML partners to support classification systems
- Provide regular status updates to stakeholders
Required Experience
- 2+ years developing taxonomies and/or ontologies
- Experience supporting front-end and back-end systems
- Ecommerce or catalog taxonomy exposure
- Strong attention to detail and structured thinking
- Confident communicator in distributed teams
Nice to Have
- Degree in Library Science, Information Management, or Linguistics
- SQL or scripting for large datasets
- Experience supporting ML classification or annotation workflows
- Exposure to AI or prompt-based tooling
Next steps to apply
Apply now with word document CV or email your CV for immediate review.
E-commerce Taxonomy Specialist employer: Principle HR
Contact Detail:
Principle HR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land E-commerce Taxonomy Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the e-commerce and taxonomy space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work with taxonomies and metadata. This will give potential employers a clear idea of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of taxonomy governance standards and machine learning basics. Being able to discuss these topics confidently will impress your interviewers.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace E-commerce Taxonomy Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the E-commerce Taxonomy Specialist role. Highlight your experience with taxonomies and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Attention to Detail: Since this role is all about structured, detail-oriented work, don’t forget to showcase your attention to detail in your application. Use clear formatting and check for any typos or errors before hitting send. We appreciate precision!
Be Clear and Concise: When writing your cover letter or any additional information, keep it clear and concise. We love a good story, but we also value brevity. Make sure you get to the point while still showing off your personality!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to upload your CV directly. Plus, it helps us keep everything organised!
How to prepare for a job interview at Principle HR
✨Know Your Taxonomy Inside Out
Make sure you brush up on your knowledge of taxonomies and ontologies. Be prepared to discuss your previous experiences in developing taxonomies, especially in e-commerce settings. Highlight specific examples where you've enriched or normalised product metadata.
✨Showcase Your Analytical Skills
Since the role involves analysing product and catalog data, be ready to demonstrate your analytical thinking. Prepare to discuss how you've identified exact and fuzzy matches in past projects. You might even want to bring along a case study or two to illustrate your approach.
✨Communicate Clearly and Confidently
As a confident communicator, you'll need to convey complex ideas simply. Practice explaining your work with engineers and ML partners, focusing on how you’ve supported classification systems. This will show that you can collaborate effectively in distributed teams.
✨Prepare for Technical Questions
Expect some technical questions related to SQL or scripting for large datasets. Brush up on these skills and be ready to discuss any experience you have with AI or prompt-based tooling. This will demonstrate your readiness to tackle the technical aspects of the role.
