Climate Data Science Intern

at  Terrascope

EMPOWERING ENTERPRISES TO KEEP THE PLANET HABITABLE FOR ALL!

Reversing the impact of climate change is one of the world’s biggest challenges. And businesses have a responsibility to lead the way. While individual consumer choices are important, over 80% of all the emissions reductions necessary for the world to reach Net-Zero, require business-level action. But despite the growing momentum and ambition from companies around the world to set Net-Zero goals, there are significant challenges to delivering on these ambitions. Business leaders don’t really know how they will get there. And the very first step, of getting emissions measurement right, is hard.
Terrascope is an enterprise-grade, end-to-end decarbonisation SaaS platform. By combining AI-assisted carbon measurement & management with deep industry & sustainability expertise, Terrascope helps solve the data management, emissions reduction planning and implementation challenges that large enterprises face to decarbonise their operations and complex supply chains.
Publicly launched in June ’22, Terrascope is working with customers in multiple industry verticals such as agriculture, food & beverage and consumer packaged goods, as well as horizontals such as manufacturing, technology, transportation and real estate. Terrascope is an innovative player to support enterprises in their green transformation.
Backed by Nupo Ventures (formerly Olam Ventures) and incubated with support from BCG X, Terrascope has now achieved a number of globally recognised accreditations, with more on the way – including being the first CDP Gold Accredited Software provider from Asia and signing The Climate Pledge to be net zero by 2040. Terrascope aims to lead by example and demonstrate that business growth and carbon reduction can go hand in hand.
We are seeking a Climate Data Science Intern to support the Data Science team on our product lines. This role reports to our Lead Data Scientist and is a fantastic opportunity for undergraduates to gain exposure to building cutting-edge data products leveraging machine learning and Generative-AI in a commercial setting, across all stages from experimentation to productization.

• Experiment and prototype end-to-end solutions, leveraging data-analytics, large language models, machine learning and software engineering to address critical challenges for our product lines to enhance user adoption and user experience
• Collaborate with sustainability experts and build software that encodes domain knowledge for scale
• Perform data analysis to find insights that can be used for preprocessing data, and enhancing our machine learning models and overall inference pipelines
• Gain exposure on carbon emission measurement and reduction, and apply them to improve our range of product lines