Assc Analytics & Model Analyst

Moody's; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Moody's is seeking a Geospatial Analytics Scientist to develop scalable GeoAI pipelines for satellite imagery analysis and large‑scale geospatial analytics. You will deploy vision models for segmentation, object detection, and change detection, and explore Generative/Agentic AI to enhance discovery and production workflows.

Strong Python and GIS skills are essential, with a graduate degree in a related field.

Qualifications

• Post‑graduate degree in Geoinformatics, Remote Sensing, Earth Sciences or Computer Science.
• Hands-on experience with Python and ML/CV libraries.
• Experience with GIS tools and remote sensing imagery.

Responsibilities

• Develop scalable GeoAI pipelines for satellite/aerial imagery analysis.
• Develop and deploy pipelines and vision models for large‑scale geospatial analytics.
• Develop vision models for segmentation, object detection, and change detection.
• Integrate Generative AI and Agentic AI into geospatial workflows.
• Build and automate spatial processing pipelines using Python.
• Analyze high‑resolution datasets: land use, buildings, infrastructure, energy assets.
• Support model evaluation, visualization, and productionization of GeoAI solutions.

Skills

Geospatial analytics

GeoAI

Machine learning

Computer vision

CNN architectures

Vision models

Remote sensing

Image classification

Image segmentation

Change detection

Hyperspectral imagery

Multispectral imagery

Python

Scikit-Learn

TensorFlow

Keras

PyTorch

GluonCV

OpenCV

GDAL

GeoPandas

Rasterio

Rasterstats

Shapely

Fiona

NumPy

Pillow

Pandas

SciPy

Matplotlib

Seaborn

Plotly

GIS tools

ESRI suite

QGIS

GRASS

Google Earth Engine

AI concepts

AI tools

AI risk management

Ethical AI

Education

Geoinformatics

Remote Sensing

Earth Sciences

Computer Science

Civil Engineering

Environmental Science

Job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, we are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies

• 1–2 years of relevant experience in geospatial analytics, GeoAI, or a closely related field are preferredStrong foundation in machine learning, computer vision, and numerical methods, including experience with CNN-based architectures and modern vision models
• Solid understanding of remote sensing techniques, including image classification and segmentation, change detection and decorrelation, and processing of hyperspectral and multispectral imagery
• Proficiency in Python with hands‑on experience across machine learning frameworks (Scikit‑Learn, TensorFlow, Keras, PyTorch, GluonCV), computer vision and geospatial libraries (OpenCV, GDAL, GeoPandas, Rasterio, Rasterstats, Shapely, Fiona, NumPy, Pillow), data processing and analytics tools (Pandas, NumPy, SciPy),and visualization libraries (Matplotlib, Seaborn, Plotly)
• Familiarity with GIS tools including the ESRI suite, QGIS, and GRASS; exposure to Google Earth Engine is a plus
• Demonstrated proficiency in artificial intelligence concepts, with hands‑on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI‑powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

Education

• Post‑graduate degree (Masters or PhD) in Geoinformatics, Remote Sensing, Earth Sciences, or Computer Science; or a graduate degree in Civil Engineering, Computer Science, or Environmental Science from a reputable institution

Responsibilities

• Develop scalable GeoAI pipelines for large‑scale satellite and aerial imagery analysis using AI and ML, computer vision, and remote sensing techniques
• Develop and deploy scalable GeoAI pipelines and vision models that power large‑scale geospatial analytics, exposure intelligence, and catastrophe risk solutions
• Develop and apply vision models and large vision models for segmentation, object detection, building footprint extraction, renewable asset detection, image enhancement, and change detection
• Integrate Generative AI and Agentic AI into geospatial data discovery, analysis, and production workflows
• Build and automate spatial processing pipelines using Python and modern software development practices
• Develop and analyze high‑resolution datasets including land use and land cover, buildings, infrastructure, and renewable energy assets
• Support model evaluation, visualization, metadata management, documentation, and productionization of GeoAI solutions

About the Team

Our Geospatial Team within the Model Development Group is responsible for developing critical geospatial datasets, exposure intelligence, and modeling components that underpin Moody's industry‑leading catastrophe risk solutions used by more than 400 clients worldwide. By joining our team, you will be part of exciting work in developing geospatial datasets for catastrophe models, advancing AI‑powered geospatial analytics, and delivering innovative solutions in renewable energy intelligence, event response, and damage assessment to support global risk insights and decision‑making.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.