Consultant - Geospatial Analyst

Council on Energy, Environment and Water (CEEW), New Delhi

Consultant (Geospatial Analyst) – Technology and AI

Terms of reference

At CEEW, we are deliberate about what we stand for (and what we don’t stand for!) as an employer. So, if the below description strikes a chord, we would love to hear from you!

At CEEW, we build careers in public policy

·       We offer strong visionary leadership – with emphasis on research and impact at scale

·       We actively promote leadership by initiative

·       We celebrate talent and ambition

·       You will be surrounded by smart people who will challenge you and help you grow

·       You will learn faster than your peers in other organisations

·       Curiosity and irreverence, as well as responsibility, come together at CEEW

·       You will get above-market remuneration

·       We provide a safe space for all

·       At CEEW, your life is your example for others

Designation offered

 Consultant 

Team/ Focus area

Technology & AI

Location

New Delhi, India

Reporting to

Lead, Technology & AI

Duration
12 Months (Opportunity for Full-time conversion)

Purpose

To support the organization/project by performing geospatial data analysis, processing, visualization, and developing automated workflows using Python, Google Earth Engine (GEE), and QGIS. The Geospatial Analyst will contribute to various projects by transforming raw spatial data into actionable insights and creating informative map products.

Key Responsibilities:

●      Geospatial Data Analysis: Perform spatial analysis using QGIS, Python libraries (e.g., Geopandas, Rasterio, Shapely), and Google Earth Engine to address project-specific questions.

●      Google Earth Engine Development: Develop, test, and implement scripts in Google Earth Engine for large-scale satellite imagery processing, time-series analysis, and environmental monitoring tasks.

●      Python Scripting & Automation: Develop and maintain Python scripts to automate geospatial data processing workflows, data cleaning, format conversions, and integration tasks.

●      Desktop GIS Operations: Utilize QGIS for data creation, editing, geoprocessing, management, and production of high-quality cartographic outputs.

●      Data Management: Acquire, process, manage, and ensure the quality control of various vector and raster geospatial datasets from diverse sources.

●      Visualization & Reporting: Create compelling maps, visualizations, and reports to communicate spatial patterns and analytical findings to technical and non-technical audiences.

●      Collaboration: Work collaboratively with project teams, data scientists, researchers, and other stakeholders

Qualifications and Experience:

●      Education: Bachelor’s or Master’s degree in Computer Science (with relevant specialization), Geoinformatics, Remote Sensing, Environmental Science, or a closely related field.

●      Experience: Minimum of 1-3 years of relevant professional experience in a geospatial data analysis role.

●      Technical Skills:

○      Core GIS Concepts: Solid understanding of fundamental GIS principles, including map projections, coordinate systems, spatial data formats (vector, raster), geodatabases, and remote sensing basics.

○      Python programming, specifically for geospatial analysis using libraries like Geopandas, Rasterio,Shapely, NumPy.

○      GEE platform (JavaScript and/or Python API) for accessing, processing, and analyzing large geospatial datasets (e.g., Landsat, Sentinel, MODIS).

○      QGIS: Strong proficiency in using QGIS for a wide range of GIS tasks, including advanced analysis, data editing, and cartographic design.

○      Familiarity with cloud computing platforms (AWS, GCP, Azure), Experience with version control systems (e.g., Git), Experience with web mapping libraries (e.g., Leaflet, Mapbox GL JS)

○      Understanding of Geo-AI and ML concepts like decision trees, random forest, PCA etc.

●      Analytical Skills: Strong problem-solving and analytical skills with the ability to interpret spatial data effectively.

●      Communication: Good written and verbal communication skills in English

Compensation

Competitive compensation – commensurate to the experience and matching the best of standards adopted by industry or other similar organisations for similar roles.

Application Process

CEEW is an equal-opportunity employer, and the selection process does not discriminate on the basis of age, gender, caste, ethnicity, religion, or sexuality. Female candidates are encouraged to apply.

Applications will be reviewed on a rolling basis. Interested applicants are advised to apply at the earliest possible.  Only shortlisted candidates will be notified by us. We appreciate your interest.