Environment Associate Intern

Job Summary

Environment Associate Intern (Nature & Climate Analytics Intern). This internship is designed for students and early-career professionals who want hands-on exposure to real climate and biodiversity projects, working directly with field data, scientists, and technologists. Location: Hybrid Mumbai preferred. Reporting to: CTO.

Role Overview

This internship is designed for students and early-career professionals who want hands-on exposure to real climate and biodiversity projects, working directly with field data, scientists, and technologists.

As a Nature & Climate Analytics Intern (Environment Associate Intern), you will play a foundational role in building, validating, and scaling science-driven monitoring systems for ecological health and climate risk.

We operate at the intersection of Nature Technology Finance Impact, building systems that turn field data into auditable, decision-grade insights for businesses, investors, and conservation stakeholders.

You will work at the intersection of:

• Environmental science
• Data & geospatial analytics
• Climate and nature finance
• Technology-enabled reporting and MRV systems

What we work on

• Biodiversity assessment & upliftment measurement
• Nature & carbon credits estimation and registry
• Hyperlocal climate risk & value-at-risk modelling (CMIP6-based)
• Digital Monitoring, Reporting & Verification (dMRV) platforms
• Environmental reporting aligned with TNFD, TCFD, and global standards

Our data stack includes

• Satellite & remote sensing data
• Field surveys and public datasets
• In-situ bioacoustics (AudioMoth), camera traps, and sensor data
• Multi-modal AI, geospatial analytics, and climate models
• Blockchain-enabled environmental finance infrastructure

Key Responsibilities

Environmental Analytics & Research

• Support biodiversity, carbon, and climate risk assessments using multi-modal datasets
• Assist in developing and validating ecological and climate indicators
• Analyze upliftment and change over time across projects

Data & Geospatial Work

• Process and analyze satellite imagery and spatial datasets
• Work with Google Earth Engine and geospatial workflows
• Support development of automated analytical pipelines (Python / R)

Environmental Reporting & Frameworks

• Contribute to TNFD, TCFD, and sustainability-aligned report
• Translate complex environmental frameworks into practical deployment guides, annexures, and report
• Support investor- and client-facing documentation

Project & Technical Coordination

• Act as a bridge between technology teams and field/conservation partners
• Help translate scientific requirements into:
• Project timelines
• Field manuals
• Internal dashboards (Notion, workflows)

Applied Research & Knowledge Synthesis

• Rapidly synthesize research into actionable insights
• Document methodologies, assumptions, and learnings for internal and external use

Who Should Apply

Education

• Currently enrolled in or recently graduated from a Bachelor's, Master's, or PhD program in Environmental Science, Ecology, Climate Science, Geospatial / Earth Sciences, or related fields

Technical Skills (Nice to have, not all mandatory)

• Functional proficiency in Python or R (Pandas, NumPy, Matplotlib)

• Ability to automate repetitive workflows with scripts

• Familiarity with Remote sensing & satellite imagery, Google Earth Engine, Ecological indices and basic climate concepts

Soft Skills & Mindset

• Strong problem-solving ability and attention to detail
• Clear written and verbal communication
• Ability to connect ideas across domains (science, tech, finance)
• Curiosity, ownership, and bias toward actions

Location

• Mumbai-based candidates or those willing to relocate are strongly preferred

• We value in-person collaboration, especially for field-linked work

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.