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 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.

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 working with GIS and spatial data
• Experience with cloud-based systems (Azure, AWS, etc.), and Git/Github
• Familiarity with R 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

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 within 1-3 hours of GMT