CABI (Centre for Agriculture and Biosciences International) is an international not-for-profit organization that improves people’s lives by providing information and applying scientific expertise to solve problems in agriculture and the environment. We bring science-based agricultural knowledge to millions of smallholder farmers helping to increase their yields and adopt data-driven approaches to support informed decision making.
CABI is the only organisation worldwide that incorporates a dedicated publishing arm and an independent science media organisation alongside conducting its own scientific research and applying practical expertise in digital and other approaches to reach farmers and other stakeholders.
Digital Development in CABI is comprised of several themes of work, including Data Policy and Practice, Digital Advisory Tools, and Modelling and Data Science. Using our expertise in digital development, we turn data and science-based knowledge into actionable, practical information that addresses real needs such as helping to prevent and tackle invasive crop pests. This helps to transform smallholder farmers’ livelihoods and helps agricultural and environmental professionals be more effective in their work. Under Data Policy and Practice we develop tools and data-driven approaches to sustainable development. Our core strengths in Data Policy and Practice help donors address problems related to data management.
Data Policy and Practice Internship
CABI is looking for a curious and enthusiastic individual with hands-on experience working with data during their PhD/DPhil, who is interested in addressing problems related to data governance, data management and learning more about the non-technical aspects of maximising value gained from data.
The intern would support a growing portfolio of data policy and practice projects related to our expertise outlined in the section above. As a Data Policy and Practice Intern you will be welcomed into a highly collaborative team where your questions and ideas will be embraced and valued. Specific tasks/activities relating to the role will depend on project needs at the time the intern joins the team. However, we will aim to co-create the internship experience with the intern as much as possible.
The internship is most suitable for a student who has worked with data and analytics during their PhD, has an interest in expanding their data experience across the data skills framework, and who has as interest in international development, agriculture, the environment, and/or health.
Knowledge, Skills and Experience
- Significant hands-on experience working with data (e.g., collecting, publishing, accessing, standardising, classifying, or visualising data)
- Significant desk research experience (e.g., critically evaluating existing literature and synthesising information)
- Interest in learning more on the non-technical aspects of gaining value from data, such as building communities of practice and incentive systems
- Interest working in data policy, data management, and international development
- Interest in change management
- Interest in approaches to solving complex problems and developing solutions, such as human centred design and systems thinking
- Awareness of FAIR data principles and scientific data standards
- Fluency in English
- Excellent written communication skills
- Willingness to embrace new approaches and technology
- Curious and creative
- Good interpersonal, communication, and administrative skills
- Self-motivated, able to work independently
- Flexibility when faced with change
- Accurate; attention to detail and quality