WattTime
WattTime is also the secretariat of Climate TRACE, a joint initiative of over 100 non-profits, tech companies, universities, and individual researchers pooling their expertise in AI, remote sensing, and emissions data to collectively build a highly advanced comprehensive open global greenhouse gas measurement system.
About the Internship
Climate TRACE provides emissions estimates at the facility level for all, or most, major emitting sectors in all countries. The dataset is now widely used by policymakers, investors, and corporate entities globally. One of WattTime’s roles as the secretariat of the coalition is to improve the sectoral coverage of the Climate TRACE dataset by estimating emissions from non-heavy industries like food and beverage manufacturing, textiles, etc.
WattTime has scraped a number of public industrial databases and gathered country-level production and emission factors. In this role, you will assist with cleaning and structuring the scraped data, identifying and scraping new sources of facility-level data, and supporting the development and testing of sector-specific, facility-level emissions models, which will then be published on the Climate TRACE website.
During this internship, you’ll gain a deeper understanding of emissions accounting and industrial emissions models, hands-on experience working with messy and imperfect ‘real-world’ datasets, and you’ll get to stretch your geospatial analysis and quantitative modeling skills.
You will work on all, or as many, of the following tasks as can be completed during the course of your internship under the guidance of a Data Scientist at WattTime:
Data Cleaning & Structuring
● Assist with consolidating and cleaning facility-level datasets scraped from multiple sources;
● Match the scraped datasets to existing Climate TRACE facilities;
● Assist with standardizing and integrating facility-level data into the Climate TRACE schema, including fields such as capacity, activity, start date, end date, and related attributes;
● Document data transformations and assumptions used during the cleaning and integration process;
● Potentially support a similar data integration project related to wastewater treatment plants, depending on project scope and timing.
Model Updates
● Assist in developing and testing new emissions estimation models for select sectors (ex: lime, glass, food processing, and textile manufacturing sectors) using country-level production data, emission factors, and available facility-level information;
● Identify and implement creative ways to fill data gaps in metadata in cases where they are missing or incomplete;
● Write a methodology document documenting the model, as well as the findings. Data Discovery
● Assist in identifying additional facility-level datasets, and scrape them for inclusion in the Climate TRACE database.
Qualifications
● Currently pursuing or recently completed a degree in data science, economics, environmental science, public policy, or a related field.
● Experience working with datasets in Python, R or other programming languages.
● Experience building simple quantitative models to estimate unknown values from available data is a plus.
● Prior work in emissions modeling and industrial datasets is a plus, but not required for this role.
Logistics
● This is a temporary, unpaid internship position. The internship is designed for students participating through a university program, fellowship, or other independent funding source.
● This is a fully remote position – must work from within the U.S.
● Intern will be expected to use their own technology, equipment, and workspace (ex: laptop) to work effectively from a remote environment through tools like Slack, Zoom, GSuite, and others.
● Duration: 6-8 weeks over the U.S. summer months, though longer durations may be considered.
● Intern will not be entitled to any of the benefits that WattTime may make available to its employees, and there is no expectation of future engagement or employment.
Application Process
● Resume screening
● Technical interview (video call)
How to Apply
To apply for this position, email your resume and answers to the questions below to
hr@watttime.org by April 6, 2026.
In addition to your resume, and in lieu of a cover letter, please address the following:
● In 200 words or less, why are you interested in this position?
● Level of proficiency with Python, R, or other programming languages;
● Source of funding for the internship, if applicable;
● Duration for which you are available for the internship and likely start date;
● Your location for the duration of the internship.