Senior Climate Analyst; Python

Position: Senior Climate Analyst (with Python)
Responsibilities and Impact:
Identify, source, and conduct comprehensive reviews of datasets from multiple sources to support climate, environmental, nature/biodiversity, and regulatory datasets
Conduct comprehensive quality control reviews and validation of models, ensuring methodological rigor and accuracy in analytical outputs for research publications and client solutions
Conduct data validation and model testing to support implementation of quantitative models. These models will include climate physical risk, climate transition risk and opportunity assessment, environmental impact/emissions analysis and environmental impact valuation
Design and implement scalable data processing pipelines using Databricks
Execute data science analytical workflows for processing large-scale datasets using established statistical modeling and machine learning frameworks
Implement automation of analytical pipelines for climate, environmental, nature, and regulatory datasets following established protocols
Support presentation of research findings and recommendations to stakeholders through clear visualizations and text that communicate complex data insights effectively

What We're Looking For:

Basic

Required Qualifications:

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Environmental Science, or related quantitative field
3-5 years of experience in data science, statistical modeling, or quantitative analysis with demonstrated proficiency in programming languages such as Python, R, or SQL
Hands-on experience with big data platforms and distributed computing environments such as Databricks, Apache Spark, or similar cloud-based analytics platforms
Proven experience developing and implementing models and statistical frameworks for large-scale data processing and analysis
Strong analytical and problem-solving skills with experience in data validation, quality control, and model testing methodologies
Excellent written and verbal communication skills with ability to present complex technical findings to diverse stakeholder audiences

Additional Desired

Qualifications:

Experience with climate transition risk modeling, scenario analysis, or assessment transition risks related to climate change

Experience with financial modeling and economic analysis related to climate transition scenarios, including assessment of abatement costs and investment pathways
Knowledge of climate science principles, carbon accounting methodologies, or greenhouse gas emissions analysis and reporting
Familiarity with climate-related financial disclosure frameworks such as TCFD, SASB, or EU Taxonomy for sustainable activities
Understanding of energy transition pathways, renewable energy technologies, or decarbonization strategies across various industry sectors.