Data Science Internship (paid) – 6 months (remote role)
About Pivotal
Pivotal Future is a nature-tech startup that provides real nature intelligence to create a better future. Using advanced analytics and cutting-edge AI, we provide high-integrity, scalable biodiversity and ecosystem data and insights, empowering businesses and organisations to make nature-positive investments and operational decisions. Visit us at https://www.pivotal.earth/ to learn more.
Role Overview: Hands-on Learning Experience
Are you passionate about nature, data, and technology? Do you want to gain real-world experience in ecology, biodiversity, and data science?
This 6-month full-time internship is an exciting entry point into the world of nature-tech, where you’ll work with real datasets, develop critical technical skills, and contribute to meaningful projects that impact biodiversity at scale. Join our Global Delivery & Operations team to get hands-on experience with data processing, validation, spatial analysis, and operational workflows, supporting high-impact projects at the intersection of tech and nature.
Please note that candidates must have right to work in the UK and be located 1-2 hours from GMT. Sponsorship is not provided.
What You’ll Do:
- Get hands-on experience supporting global biodiversity action
- Work with ecological and geospatial datasets within established data pipelines executing data ingestion, processing, validation, and quality checks
- Identify, investigate and report bugs in data processing
- Assist with admin and organisational tasks to keep data pipelines running smoothly
What You’ll Learn:
- How the private sector is tracking, quantifying and reporting biodiversity
- How real-world biodiversity data is collected, processed, and analysed
- How to work a wide range of digital ecological data types
- How to manipulate, visualise, and analyse datasets using Python and SQL
- How ecological data interfaces with ML models and how cloud based data pipelines operate
- How project management works in a fast-paced tech startup
What We’re Looking For:
- Background in ecology or biodiversity (MSc preferred) OR 1-2 years’ experience in data science or delivery operations, preferably at an early-stage tech startup
- Foundational Python skills and strong data science skills (data manipulation and analysis)
- Experience using SQL
- Experience with cloud-based systems (Azure, AWS, etc.), and Git/Github
- Familiarity with R is preferred but not essential.
- Experience working with GIS and spatial data is preferred but not essential.
- Strong attention to detail—especially when handling data
- Interest in working in a fast-moving, mission-driven startup
- Willingness to roll up your sleeves for some of the less glamorous but essential tasks
- Candidates must have right to work in the UK, sponsorship is not provided
Why Join Us?
- Impact – Work on data-driven solutions that regenerate biodiversity at scale
- Innovation – Be part of a cutting-edge nature-tech company
- Hands-on Learning – Gain hands-on experience in ecology, AI, GIS, and data science
- Mission-Driven – Work with a team passionate about nature and technology
- Remote-first - Flexibly work from where you prefer, but must be within 1-2 hours of GMT