GIS Manager

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    "ShortDescriptionStr": "We are seeking an experienced Manager – GIS / Remote Sensing with 7–10 years of experience to lead geospatial initiatives supporting catastrophe risk model development within the Catastrophe & Risk Solutions (CRS) team. The role requires strong expertise in GIS, Remote Sensing, LiDAR data processing, spatial databases (SQL/PostgreSQL/PostGIS), WebGIS, and Python-based geospatial automation, along with experience applying AI/ML techniques for geospatial analytics.",
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    "CorporateDescriptionStr": "<p><b>Our People, Our Culture</b></p>\n<p>For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle.&nbsp; We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets.&nbsp;<a href=\"https://www.verisk.com/company/about/\" target=\"_blank\" rel=\"nofollow\">Learn more about Verisk</a>&nbsp;and what we are doing within the insurance industry.&nbsp;</p>\n<p>For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.&nbsp;</p>\n<p><a href=\"https://www.verisk.com/company/csr/social/our-culture/\" target=\"_blank\" rel=\"nofollow\"><b>Our Culture</b></a>: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.</p>\n<p><a href=\"https://www.verisk.com/company/newsroom/topics/culture/\" target=\"_blank\" rel=\"nofollow\"><b>Awards &amp; Recognition</b></a>: See why Verisk is consistently recognized as a Great Place to Work™ around the world.</p>\n<p><a href=\"https://www.verisk.com/solutions/\" target=\"_blank\" rel=\"nofollow\"><b>Our Businesses</b></a>: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.</p>\n<p><a href=\"https://www.linkedin.com/company/verisk-analytics/life\" target=\"_blank\" rel=\"nofollow\"><b>Life at Verisk</b></a>: Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.</p>\n<p><a href=\"https://www.verisk.com/company/careers/\" target=\"_blank\" rel=\"nofollow\"><b>Careers at Verisk</b></a>: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture</p>\n<p>Let’s build something meaningful together!</p>\n<p>Verisk Analytics is an equal opportunity employer.</p>\n<p>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. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.</p>\n<p><a href=\"https://www.verisk.com/company/careers/\" target=\"_blank\" rel=\"nofollow\">https://www.verisk.com/company/careers/</a></p>\n<p>Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.</p>\n<p><a href=\"https://www.verisk.com/49041b/siteassets/media/downloads/verisk-global-employee-privacy-notice.pdf\" target=\"_blank\" rel=\"nofollow\">Verisk Employee Privacy Notice</a></p>",
    "ExternalPostedStartDate": "2026-05-05T19:07:11+00:00",
    "ExternalQualificationsStr": "<p><strong>Education</strong></p><ul style=\"list-style-type: disc;\"><li>M.Tech / M.Sc / B.Tech in Geo-Informatics, Geography, Remote Sensing &amp; GIS, or a related field in Spatial Technologies</li></ul><p>&nbsp;</p><p><strong>Experience</strong></p><ul style=\"list-style-type: disc;\"><li>7–10 years of experience in GIS, Remote Sensing, or Geospatial Analytics</li><li>3–5 years of experience in people management or team leadership</li><li>Proven experience managing complex geospatial projects and coordinating cross-functional teams</li></ul><p>&nbsp;</p><p><strong>Technical Skills</strong></p><p><strong>Geospatial Tools &amp; Software</strong></p><ul style=\"list-style-type: disc;\"><li>Expert-level proficiency in ArcGIS Pro, ArcGIS Desktop, QGIS, and Google Earth Pro</li><li>Familiarity with ArcGIS extensions such as Spatial Analyst, 3D Analyst, Image Analyst, and Network Analyst</li></ul><p>&nbsp;</p><p><strong>Programming &amp; Automation</strong></p><ul style=\"list-style-type: disc;\"><li>Advanced proficiency in Python and geospatial libraries (ArcPy, GDAL, GeoPandas, Rasterio, Fiona, Shapely, PyProj etc.)</li><li>Experience with SQL and spatial databases (PostgreSQL/PostGIS)</li><li>Proven ability to develop and maintain automated geospatial workflows</li></ul><p>&nbsp;</p><p><strong>Machine Learning &amp; AI</strong></p><ul style=\"list-style-type: disc;\"><li>Experience applying Machine Learning / Deep Learning techniques to geospatial datasets (e.g., classification, object detection, spatial clustering)</li><li>Familiarity with scikit-learn, TensorFlow, or PyTorch</li></ul><p>&nbsp;</p><p><strong>Data Handling &amp; Analysis</strong></p><ul style=\"list-style-type: disc;\"><li>Strong experience working with raster, vector, and LiDAR datasets</li><li>Ability to derive insights from large and complex geospatial datasets, with a focus on scalable processing, performance optimization, and continuous enhancement of spatial analysis and modelling workflows.</li></ul><p>&nbsp;</p><p><strong>Communication &amp; Collaboration</strong></p><ul style=\"list-style-type: disc;\"><li>Strong communication skills for technical reporting and cross-functional collaboration</li><li>Ability to work effectively in global and distributed team environments</li><li>Strong organizational and time management skills to manage multiple priorities and deliverables</li></ul><p>&nbsp;</p><p><strong>Preferred / Desirable Skills</strong></p><ul style=\"list-style-type: disc;\"><li>Experience with WebGIS platforms, ArcGIS Enterprise, or other web mapping technologies</li><li>Familiarity with HTML, Java, MATLAB, Power BI, or ProjectPlace</li><li>Understanding of geostatistical techniques, spatial modelling, and data mining<br>Exposure to catastrophe modelling, insurance analytics, or risk analytics domains</li></ul>",
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