World Wildlife Fund (WWF), the world’s leading conservation organization, seeks a Conservation Evidence Analysis Intern to join the Global Science team.
Conservation decision-makers need credible information on which to base their decisions at local, national, and international scales. The synthesis of existing management information and program and conservation data, collected by WWF and its partners, offers the potential to provide actionable insights to decision-makers. Consequently, WWF is combining global datasets with internal data on performance and conservation outcomes to help inform key decisions.
We are looking for a motivated intern to assist in the collection, management, and statistical analysis of key datasets.
Specific responsibilities will include:
- Collecting and collating information on conservation strategy and monitoring & evaluation
- Assessing information to meet quality criteria
- Identifying appropriate internal and external datasets for analysis
- Data management, including updating database metadata and database maintenance
- Descriptive statistics on status and trends in key indicators
This internship is an excellent opportunity to interact with scientists and practitioners at WWF and around the world; gain exposure to a wide range of conservation science and policy issues; and inform adaptive management of WWF’s conservation portfolio.
- The successful applicant will have strong analytical and critical thinking skills; data management and statistical analysis skills; R/RStudio experience; and experience handling large scientific datasets.
- Familiarity with global datasets relevant to global agreements such as the Sustainable Development Goals and the Convention on Biological Diversity is highly desirable. Exposure or skills in systems thinking or design and experience using GitHub a plus. This internship requires independent work, as well as collaboration as part of an international, interdisciplinary team.