Senior Environment Analyst (with Python)

Crisil; Maharashtra; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Crisil is seeking a professional for the role of Climate Transition Risks and Opportunities. This position entails conducting data reviews and validations to support climate and environmental research.

The ideal candidate should possess a relevant degree and be experienced in data science and statistical modeling. Skills in programming languages such as Python, R, and working with platforms like Databricks are essential. The role also involves presenting findings to stakeholders through effective visualizations.

Qualifications

• 3-5 years of experience in data science or quantitative analysis.
• Hands-on experience with big data platforms and distributed computing.
• Strong analytical and problem-solving skills.

Responsibilities

• Conduct comprehensive reviews of datasets for climate and environmental analysis.
• Implement scalable data processing pipelines using Databricks.
• Support presentation of research findings and recommendations to stakeholders.

Skills

Data Science

Statistical modeling

Programming (Python, R, SQL)

Analytical skills

Education

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Environmental Science

Tools

Databricks

Apache Spark

Job description

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 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.