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For Companies At a Glance
- Tasks: Enhance product data quality and structure for a leading global tech brand.
- Company: Join an iconic tech brand with a focus on innovation and collaboration.
- Benefits: Competitive hourly rate, flexible working hours, and a dynamic work environment.
- Why this job: Make a real impact on machine learning and ecommerce initiatives.
- Qualifications: 2+ years in taxonomy development and strong analytical skills required.
- Other info: Exciting opportunity for career growth in a fast-paced tech setting.
The predicted salary is between 27 - 42 £ per hour.
Career Moves is seeking a Taxonomist to support the ecommerce initiatives within the catalog organisation of an iconic global tech brand. This role focuses on enriching and normalising product client data (such as Brand) into a unified product taxonomy, enabling machine learning development and enhancing catalog-wide initiatives.
Role Overview
The Taxonomist will be responsible for elevating the quality, structure, and consistency of product data across multiple streams. Their work will directly support machine learning models, taxonomy expansion, category structuring, and cross-functional optimisation. The position involves close collaboration with engineering teams to annotate data, improve ML understanding, and evaluate model outputs.
Key Responsibilities
- Conduct detailed data analysis using Excel, Google Sheets, or scripting languages to identify identical and fuzzy matches across vocabularies.
- Perform internal and external research to enrich taxonomy node client data.
- Provide regular status updates on progress, issues, questions, and potential opportunities to partners and stakeholders.
- Implement taxonomy updates in alignment with established taxonomy governance guidelines.
- Support tasks related to cross-taxonomy mapping, vertical expansion, and front-end taxonomy design.
- Collaborate with engineers to enhance machine learning annotation and evaluate model output.
Minimum Requirements
- 2+ years’ experience developing taxonomies or ontologies for both front-end and back-end applications.
- Demonstrated experience building taxonomies or ecommerce-driven classification systems.
- Experience researching and defining taxonomy client data using recognised standards.
- Exposure to a broad range of topic and domain types.
- Strong communication skills, with the ability to present taxonomy principles and standards clearly.
- Proven ownership mindset and ability to self-start, build partner relationships, and develop informed viewpoints.
- Strong proactive communication skills across projects and workstreams.
- High attention to detail and dedication to accurate taxonomy development work.
Preferred Qualifications
- Master’s degree in Library Science or Information Management.
- Experience analysing large datasets using SQL or other query languages.
- Experience developing taxonomies for machine learning classification systems.
- Familiarity with prompt engineering and modern AI tools.
Taxonomist in London employer: Career Moves Group I B CorpTM
Contact Detail:
Career Moves Group I B CorpTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Taxonomist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your taxonomy expertise. This can be a great conversation starter during interviews and shows you're proactive.
✨Tip Number 3
Prepare for interviews by researching the company and its products. Understand their taxonomy needs and think about how you can contribute to their ecommerce initiatives. Tailor your answers to show you’re the perfect fit!
✨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 keen to join us directly.
We think you need these skills to ace Taxonomist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Taxonomist role. Highlight your experience with taxonomies, data analysis, and any relevant tools you've used. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've developed taxonomies or worked with machine learning. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to address all the key responsibilities mentioned in the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to shine in front of our hiring team!
How to prepare for a job interview at Career Moves Group I B CorpTM
✨Know Your Taxonomy Inside Out
Make sure you’re well-versed in taxonomy principles and standards. Brush up on your experience with ecommerce-driven classification systems and be ready to discuss how you've developed taxonomies in the past. This will show that you understand the role and can hit the ground running.
✨Show Off Your Data Skills
Since the role involves detailed data analysis, be prepared to talk about your experience with tools like Excel, Google Sheets, or even SQL. Bring examples of how you've identified matches across vocabularies or enriched client data. This will demonstrate your analytical prowess and relevance to the job.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practice explaining complex taxonomy concepts in simple terms. You might be asked to present your ideas or findings, so being clear and confident will help you stand out as a candidate who can collaborate effectively with engineering teams.
✨Be Proactive and Solution-Oriented
The job requires a proactive mindset, so come prepared with examples of how you've taken ownership of projects in the past. Think about times when you’ve identified issues and proposed solutions. This will show that you’re not just a doer but also a thinker who can contribute to cross-functional optimisation.
