GIS Engineer I
Hyderabad, India
Verisk
The leading strategic data analytics and technology partner to the global insurance industry.Company Description
ISO, a Verisk business, has been a leading source of information about property/casualty insurance risk since 1971. For a broad spectrum of commercial and personal lines of insurance, ISO provides statistical, actuarial, underwriting, and claims information and analytics; compliance and fraud identification tools; policy language; information about specific locations; and technical services. ISO serves insurers, reinsurers, agents and brokers, insurance regulators, risk managers, and other participants in the property/casualty insurance marketplace. To learn more about ISO please visit us at: www.verisk.com/iso. We are proud to be a part of the Verisk family of companies!
At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.
Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.
But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.
It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.
At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.
At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fourth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.
Job Description
- Assist in preparing GIS and Remote Sensing components for the development of Extreme Event Solutions (EES) models.
- Handle large-scale GIS dataset preparation to support model development, ensuring data accuracy and usability.
- Perform tasks such as digitization/editing, geo-referencing, map projections, reformatting, and vector-to-raster conversions.
- Conduct advanced image classification, topology checking, cartography, and process datasets from satellite, aerial, and LiDAR sources.
- Generate and maintain geospatial databases, ensuring comprehensive data handling for analysis and modeling.
- Collect and update Elevation, Land Use/Land Cover, Soil Type data, as well as industry exposure data related to building and infrastructure footprints.
- Source geospatial data from various national, state, and regional portals to meet specific project requirements.
- Maintain and update geospatial datasets to ensure their relevance for model development and analysis.
- Conduct raster spatial analysis and other geoprocessing techniques to extract insights from complex datasets.
- Automate GIS workflows and explore innovative solutions to improve efficiency in geoprocessing tasks.
- Analyze and validate results, presenting them effectively through spreadsheets, charts, and maps.
- Collaborate with multi-disciplinary research teams, particularly supporting flood risk modeling and other spatial analysis tasks.
- Ensure adherence to best GIS practices while coordinating with other team members on project goals.
- Write technical documentation for internal use, detailing processes, methodologies, and findings.
Prepare client-ready reports and deliverables, ensuring clarity and professionalism in all communications.
Qualifications
Educational Qualification:
M Tech or M.Sc or B Tech.(in Geo-Informatics/Geography/Remote Sensing & GIS) or Spatial Technologies
Total Experience: 1-3 years
Must-Have skills:
- Expert in ArcGIS Desktop, ArcGIS Pro, ERDAS, ENVI, IDRISI, QGIS, Google Earth Pro
- Familiarity with ArcGIS Extensions: Spatial Analyst, 3D Analyst, Image Analyst, Network Analyst
- Strong geo-analytics and geoprocessing skills, especially in raster data formats
- Solid understanding of Remote Sensing concepts
- Proficient in Python, including GIS-related libraries such as ArcPy, GDAL, Fiona, Shapely, Geopandas, Rasterio, PyProj etc.
- Proficiency in SQL and R
- Knowledge of Machine Learning and Deep Learning principles as applied to GIS
- Experience in ensuring project completion with high quality and on time
- Designing, developing, and maintaining GIS databases and conducting spatial analysis
- Excellent communication skills for project documentation and technical presentations
- Ability to collaborate effectively in a team environment, while also working independently
- Willingness to learn and apply new technologies
- Open to feedback, with self-motivation to grow within the Extreme Event Solution team
Nice-To-Have:
- Knowledge of ArcGIS Enterprise, C#, HTML, JAVA, C++, MATLAB, PowerBI and Project Place
- Familiarity with geo-statistical techniques and data mining
- Strong problem-solving skills, ability to manage multiple projects
- Strong mathematical and statistical background
- Interest in learning catastrophe modeling and the insurance industry
Additional Information
Additional Information
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Data Mining Deep Learning Java Lidar Machine Learning Matlab ML models Power BI Python R Research SQL Statistics
Perks/benefits: Career development Insurance
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