Climate Data Science Intern

Summary

The job is for a Climate Data Science Intern at Terrascope, an enterprise-grade decarbonization SaaS platform. The intern will experiment with end-to-end solutions using data analytics, large language models, machine learning, and software engineering to address challenges for product lines. They will collaborate with sustainability experts, perform data analysis, and gain exposure to carbon emission measurement and reduction.

Requirements

• Be an undergraduate in Analytics, Data Science, Statistics, Computer Science, Engineering or other quantitative field or equivalent. Exposure to sustainability is a plus
• Have proficiency in Python programming with experience in common libraries such as Pandas, Scikit-learn, Huggingface and Langchain
• Have a keen interest and ability to solve business problems through data analytics, data wrangling, LLMs and classical machine learning. Exposure to NLP techniques is a plus
• Have experience with code versioning tools like Git; knowledge of MLOps tools and frameworks (Docker, K8s, MLFlow etc.) is a plus

Responsibilities

• 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

Preferred Qualifications

• Possess an excellent sense of ethics and integrity, with the ability to impress on others to “do the right thing.”
• Have the ability to work independently and collaboratively in a fast-paced environment
• Have excellent analytical skills, attention to detail, and commercial awareness
• Be hard-working, proactive, and motivated individual who can manage multiple stakeholders and projects

Benefits

Working with a strong and diverse team in an inclusive environment