Senior Environment Analyst (with Python)

Job Description: Climate Transition Risks and Opportunities

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.