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- Tasks: Discover, organise, and maintain vital livestock information for impactful decision-making.
- Company: Join the Royal (Dick) School of Veterinary Studies, a leader in livestock data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on improving livestock data in low-income countries.
- Why this job: Make a real difference in livestock data management and support global development.
- Qualifications: Degree in Library Science, Data Management, or related field; strong analytical skills required.
The predicted salary is between 34610 - 39906 £ per year.
Grade UE07: £34,610 to £39,906 per annum, pro‑rata if part time. Royal (Dick) School of Veterinary Studies / SEBI‑Livestock. Full‑time: 35 hours per week. Fixed term: 3.5 years.
Opportunity
We are seeking a detail‑oriented Information Scientist to join our Monitoring & Learning Team, to discover, organise, classify, and maintain relevant livestock information required for monitoring sector change. SEBI‑Livestock (SEBI-L) is a dynamic and innovative organisation tasked with improving livestock data and evidence in low‑ and middle‑income countries to support better informed decision making. In addition to convening the Livestock Data for Decisions (LD4D) network, we provide core data and monitoring services to the Gates Foundation to assist in the tracking of their livestock investments. This role involves managing metadata, ensuring data accuracy, and improving data discoverability for users within SEBI‑L, the Gates Foundation’s Livestock Pillar, and livestock data users more broadly. The ideal candidate will have a keen eye for detail, strong analytical skills, and experience with developing information catalogues. Information to be catalogued will include information relating to livestock datasets, livestock projects policy and agricultural census reports, and other sources to be defined.
Working arrangements
The post is full‑time (35 hours per week); however, we are open to considering part‑time or flexible working patterns, including requests for hybrid working (on a non‑contractual basis) that combines a mix of remote and regular on‑campus working.
Qualifications & Skills
- Educated to degree level or above in a relevant subject e.g. Library and Information Science, Data Management or a related field.
- Strong understanding of metadata management, data governance, and classification methodologies.
- Knowledge of relevant cataloguing and classification standards and reference tools (e.g., Dublin Core, AgMES, AGROVOC, NALT Core).
- Familiarity with database and data structures.
- Knowledge of regulatory requirements related to data management (e.g., GDPR, CCPA).
The salary for this post is £34,610 to £39,906 per annum.
13415 - Information Scientist employer: University of Edinburgh
Contact Detail:
University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 13415 - Information Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend relevant events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their mission and how your skills as an Information Scientist can contribute to their goals. Tailor your responses to show you're the perfect fit for their team.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly helps us keep track of your application. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace 13415 - Information Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Information Scientist role. Highlight your experience with metadata management and data governance, as these are key for us. Use specific examples that showcase your analytical skills and attention to detail.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about livestock data and how your background fits with our mission at SEBI-Livestock. Be sure to mention any relevant cataloguing standards you’re familiar with.
Showcase Relevant Skills: Don’t forget to highlight your knowledge of classification methodologies and database structures. We want to see how your skills align with the requirements listed in the job description, so be clear and concise!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at University of Edinburgh
✨Know Your Metadata
Make sure you brush up on your knowledge of metadata management and classification methodologies. Be ready to discuss specific standards like Dublin Core or AgMES, as this will show your understanding of the role's requirements.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical skills, especially in relation to data accuracy and discoverability. Think of situations where you've successfully organised or classified information, and be ready to share those stories.
✨Understand the Bigger Picture
Familiarise yourself with SEBI-Livestock’s mission and how it impacts livestock data in low- and middle-income countries. Being able to articulate how your role as an Information Scientist fits into their goals will impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and how they measure success in data management. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.