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 explicit visualizations and text that communicate complex data insights effectively
What Were Looking For:
Basic Required Qualifications:
- Bachelors or Masters 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 metho
📌 Senior Climate Analyst (Pune)
🏢 Crisil
📍 Pune
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