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12694 - Research Associate
University of Edinburgh
Assistant Coastal Data Scientist (Undergraduate)
Job summary
A leading environmental consultancy in the UK is seeking a talented undergraduate student or recent graduate in data science or environmental science to support coastal projects by analyzing environmental data. The ideal candidate will have strong analytical skills and familiarity with tools like Excel and Python. This role offers an opportunity to work closely with experts in the field and contribute to meaningful environmental strategies.
Qualifications
- Current undergraduate in data science, environmental science, or related field.
- Strong analytical skills with data processing tools like Excel, Python, or R.
- Ability to work collaboratively with attention to detail.
Responsibilities
- Collect, process, and analyse coastal and environmental data.
- Produce reports to inform environmental strategies.
- Collaborate with the Environment & Housing team.
Skills
Education
Tools
- Collect, process, and analyse coastal and environmental data to support ongoing projects.
- Assist in interpreting data trends and producing reports to inform environmental strategies.
- Collaborate with the Environment & Housing team to ensure accurate data management.
- Use data tools and software to model coastal processes and contribute to research outputs.
- Maintain confidentiality and adhere to organisational data protection policies.
- Support administrative tasks related to data organisation and project documentation.
- Essential: Current undergraduate student (or recent graduate) in data science, environmental science, or a related field.
- Essential: Strong analytical skills and familiarity with data processing tools (e.g., Excel, Python, R, or similar).
- Essential: Ability to work collaboratively, with attention to detail and a proactive attitude.
- Must have: Eligibility to work in the UK
- Desirable: Interest in coastal or environmental data analysis and basic knowledge of statistical methods.
If interested, please submit CV and call Varsha on (phone number removed) between 9am to 5pm (Mon to Fri)
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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