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- Tasks: Assist in data preparation and support the development of the FAIR Data portal.
- Company: Join GÉANT, a leader in advanced networking and cybersecurity.
- Benefits: Flexible hours, hands-on experience, and a chance to work on impactful projects.
- Why this job: Make a difference in global innovation while gaining valuable data science skills.
- Qualifications: Studying or recently graduated in computer science, data science, or related fields.
- Other info: Collaborative international environment with opportunities for growth.
Up to 24 hours a week - 6 Month Contract
What if your data insights helped accelerate discoveries, shape smarter decisions, and empower global innovation daily? At GÉANT, we enable advanced networking, cybersecurity, data autonomy, and support cutting edge computing initiatives like supercomputing and AI.
Our Trust & Identity team delivers advanced IAM/AAI services to critical initiatives like European open Science Cloud, EuroHPC systems, and Erasmus. You’ll play a key role as an Intern in Data Science. From assisting in the requirement gathering phase for the FAIRification project to benchmarking different repository platforms (Zenodo, InvenioRDM, Dataverse, HuggingFace, etc.). Your work will support the technical development of the FAIR Data portal proof-of-concept and you will help with data preparation: cleaning, organising, and structuring datasets.
Some of the key responsibilities for this role:
- Apply metadata standards and FAIR principles to improve dataset quality and usability.
- Realise the benchmarking of different repository platforms (Zenodo, InvenioRDM, Dataverse, HuggingFace, etc.).
- Document processes, findings, and lessons learned for internal reporting.
- Support platform configuration and deployment, including development of bridges to connect organisational systems to the portal, enabling automated data input from production tools.
- Collaborate with project team members, GÉANT staff, and national Research and Education Networks around Europe.
About You
Your knowledge in Data science will help you thrive in computer science, and you build reliable information systems. We are looking for someone who is currently studying or recently graduated in computer science, data science, information systems, digital libraries, or related fields.
Key Strength:
- Interest in Open science, research data management, or FAIR principles.
- Familiar with data cleaning and preparation tools (e.g. Python, R, OpenRefine, Excel) is a plus.
- Understand metadata standards, database, or repository systems desirable.
- Familiarity with platform configuration and deployment, and ideally some experience with building connectors/APIs to integrate systems.
- Good analytical, organisational, and communication skills.
- Proactive, curious, and willing to learn in a collaborative international environment.
Working arrangements
Given the responsibilities of this role, we expect the individual to be in the office 3 days/week.
Application process
Application close: December 15th for a Feb 1st start date
Steps: Recruiter Call -> Hiring Manager Interview -> Onsite Interview.
Want to know more about life at GÉANT? Visit: Why Work for GÉANT
Once you apply, GEANT Association will act as the controller of your data - our full candidate Privacy Notice can be found here: Privacy Notice.
Data Insights Assistant in Sheffield employer: GÉANT
Contact Detail:
GÉANT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Assistant in Sheffield
✨Tip Number 1
Network like a pro! Reach out to current or former employees at GÉANT on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for your interviews by brushing up on your data science knowledge. We should be ready to discuss how we can apply FAIR principles and our experience with data cleaning tools. Show them we mean business!
✨Tip Number 3
Don’t forget to showcase our passion for open science and research data management during interviews. Let’s make it clear that we’re not just looking for a job, but we genuinely care about contributing to innovative projects!
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight our skills that match the role perfectly.
We think you need these skills to ace Data Insights Assistant in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Insights Assistant role. Highlight relevant skills and experiences that align with the job description, especially your knowledge in data science and any familiarity with FAIR principles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for open science and research data management. Share specific examples of your experience with data cleaning and preparation tools, and how they relate to the role.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical and organisational skills. Mention any projects or coursework where you’ve successfully applied these skills, especially in collaborative environments.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at GÉANT
✨Know Your Data
Make sure you brush up on your data science knowledge, especially around FAIR principles and metadata standards. Be ready to discuss how you've applied these concepts in your studies or projects, as this will show your genuine interest and understanding of the role.
✨Showcase Your Tools
Familiarity with data cleaning and preparation tools like Python, R, or Excel is a plus. Prepare to talk about any relevant experience you have with these tools, perhaps by sharing specific examples of how you've used them to clean or organise datasets.
✨Ask Smart Questions
During the interview, don’t hesitate to ask insightful questions about the team’s current projects or the technologies they use. This not only shows your enthusiasm but also helps you gauge if the role aligns with your interests and career goals.
✨Be Collaborative
Since the role involves working with various teams and stakeholders, highlight your teamwork skills. Share examples of past collaborative experiences, especially in international or diverse settings, to demonstrate your ability to thrive in a collaborative environment.