Sr. Modeling Analyst

Model Development/Modeling Noida, India

Sr. Modeling Analyst – Remote Sensing

 

Department:

 

Model Development

 

 

Objective of the Role:

 

The candidate will be extensively involved in all the production activities from remotely sensed data and support the integration of resultant products into a GIS environment for exposure models for modeled countries. Maintain and deliver the geospatial data and data components on time with highest quality. Particular skills in programming, numerical/statistical analysis, computing, databases etc. would add value.

 

 

 Key Accountabilities & Deliverables:

 

  • Overall responsible for quantitative and qualitative analysis of satellite/ aerial images
  • Responsible for process enhancement initiative to meet the requirements for exposure models
  • Involve in applying geospatial, remote sensing and other supportive domain knowledge in deriving additional data sources for exposure model development
  • Establishes credibility by thought partnering on geospatial topics; takes positions and draws conclusions on a range of external and internal issues
  • Provide professional skills necessary for all phases of data analysis, including the application of image processing methods for conducting analysis, QA/QC/, documentation and presentation.
  • Communicates analytical insights through sophisticated synthesis and packaging of results (Including PPT slides and charts)
  • Serve as an active participant on cross-functional projects, interpreting data, and translating into actionable insights, provide support on ad-hoc analysis and reports.

 

 

Experience Required:

  • Post Graduate in Geoinformatics, Remote Sensing, Earth Sciences or Graduate in Civil Engineering, Computer Science, Environmental Science from an institute of good repute
  • 0 to 2 year of total experience in developing geospatial data and data components for catastrophe risk insurance industry
  • Research, collect, analyze and consolidate available datasets (Land Use and Land Cover – LULC - layers, building footprints, industrial facility polygons, road networks etc.)
  • Analyze remotely sensed data from airborne, satellites, or ground-based platforms, using image processing software, GIS software, or statistical analysis software.
  • Knowledge of analysis techniques like statistical methodology, numerical techniques and data manipulation
  • Critical thinking skills and hands on experience in data interpretation, formulating hypotheses and being able to make educated guesses when data may be sparse or unavailable
  • Strong documentation skills with experience of working on MS Word, Excel (advanced knowledge such as using pivots, filters, using external data etc.), PowerPoint and Project
  • Excellent communication skills and ability to independently lead and drive projects

 

Technical Skills:

  • Deep understanding in remote sensing technology (classification, segmentation, change detection, decorrelation algorithms) for identifying the classes/ objects in hyper/multi – spectral satellite/ aerial images
  • Strong working knowledge of ENVI and ESRI GIS software products and hands on exposure to open source platform such as QGIS, GRASS etc.
  • Familiarity with Google Earth Engine and Open Street Map would be a plus
  • Knowledge of analysis techniques like statistical methodology, numerical techniques and data manipulation
  • Programming skills in Python, VB.Net, C#, C++, SQL etc will be an added advantage
  • Quick leaner for new technologies, programming techniques, languages, and operating systems is a must