We are seeking a Climate Scientist / Quantitative Modeler to join our team in 2026.

Responsibilities:

• Develop and run quantitative models related to greenhouse gas (GHG) emissions, carbon capture (CCS/CDR), and decarbonization pathways.

• Work with climate, energy, and emissions datasets to conduct robust analysis, including scenario modeling, sensitivity testing and predictive modeling

• Build and maintain reproducible analytical workflows, ensuring transparency and scientific rigor in all outputs.

• Evaluate the impact, cost-effectiveness, and scalability of climate interventions using data-driven approaches.

• Translate complex model outputs into clear, structured insights to support internal decision-making and client work.

• Stay current with developments in climate science, carbon removal technologies, and emissions accounting methodologies, and apply these to ongoing analyses.

• Work with project leads to clarify client needs and provide guidance on what analyses are (or aren’t) possible

A Good Fit

This role is the right fit for you if you are:

• A rigorous, analytical thinker who enjoys working deeply with data, models, and quantitative systems;

• Energized by applying scientific methods to real-world climate problems, particularly related to carbon and emissions;

• Comfortable working independently to structure and execute complex analyses in a small, collaborative team;

• Interested in contributing your technical expertise within a mission-driven organization focused on climate impact;

• Looking for a role that emphasizes depth, precision, and applied science over generalist consulting work.

This role is not the right fit for you:

• Someone looking for a generalist strategy, facilitation, or client-facing consulting role;

• Someone who prefers qualitative work over quantitative analysis and modeling;

• Someone who requires highly structured, predefined problems rather than open-ended analytical challenges;

• Someone without experience working with data, models, or scientific analysis in a professional or academic setting.

Experience and Qualifications:

• PhD or MSc in Climate Science, Physics, Environmental Science, Energy Systems, Applied Mathematics, Engineering, or a related field;

• Strong experience in quantitative modeling and data analysis (e.g., emissions modeling, energy systems, or climate projections);

• Proficiency in Python, R, or similar programming languages used for scientific computing and data analysis;

• Experience working with large datasets and building reproducible analytical workflows;

• Familiarity with carbon accounting frameworks, lifecycle analysis (LCA), or climate/energy system models is a plus;

• Strong attention to detail and commitment to scientific rigor;

• Ability to interpret and communicate model outputs clearly and concisely;

• Ability to balance analytical rigor with practical constraints, communicate uncertainty clearly, and identify where quantitative analysis is most useful.

How to Apply:

Please send a CV and cover letter to info@convivecollective.com with “Climate Modeling & Analytics Lead” in the subject line. In your cover letter, please specify:

• the types of modeling or analytical work you’ve done and the types of decisions these efforts have helped inform;

• tools/platforms you commonly use (e.g., Python, R, etc.);

• and, if available, examples of relevant projects, publications, or portfolios.

We truly appreciate the emotional and logistical effort that goes into submitting a cover letter and CV for an open position. We would love to be able to respond to each person who submits with gratitude and feedback, but we are unfortunately not able to offer that at this time. We appreciate your interest in working with us!