Job Description: Climate Transition Risks and Opportunities
Job Description - Environmental
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 emissions factors development, validation, or application across various industry sectors and greenhouse gas scoping methodologies
- Knowledge of input-output economic models for environmental impact assessment, including multi-regional input-output (MRIO) analysis or environmentally extended input-output modeling
- Familiarity with natural capital valuation methodologies, ecosystem services assessment, or environmental accounting frameworks
- Understanding of life cycle analysis (LCA) principles, including cradle-to-grave assessment, impact categories, and LCA software tools such as SimaPro, GaBi, or open LCA.
