Job Description

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 datas...

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