Job Description

We are seeking an experienced and highly motivated Senior GIS Engineer to lead and drive advanced geospatial initiatives that support the development of catastrophe risk models within the Extreme Event Solutions (EES) team. The ideal candidate will have deep expertise in GIS, Remote Sensing, Python automation, spatial databases, and applied Machine Learning/AI for geospatial analytics. In addition to strong technical skills, this role requires proven people management and leadership capabilities to mentor team members, coordinate with global stakeholders, and ensure timely, high-quality delivery of projects. The position balances hands-on technical contributions with team leadership, cross-functional collaboration, and end-to-end ownership of project outcomes.



Lead the design, development, and integration of GIS and Remote Sensing components in EES model development. Manage large-scale geospatial datasets, ensuring high standards of data quality, structure, and usability. Perform and oversee complex spatial data processing tasks such as digitization, geo-referencing, projection transformations, and raster/vector conversions. Conduct advanced remote sensing analysis including image classification, object-based analysis, and LiDAR/DEM/DSM data processing. Develop and maintain spatial databases and repositories to support model development. Source, integrate, and validate elevation, land use, soil, and infrastructure exposure data from multiple national and international platforms. Automate geoprocessing workflows using Python and scripting tools to enhance efficiency and consistency. Apply Machine Learning and Deep Learning techniques for tasks such as building footprint extraction, land cover classification, and predictive modeling. Interpret and validate analytical results, presenting them clearly through maps, dashboards, charts, and technical reports. Coordinate effectively with team members across Hyderabad and Boston DTG & Exposure teams, taking ownership of daily tasks and project deliverables, and ensuring timely updates and collaboration with the Boston team on a daily or as-needed basis. Mentor junior team members and provide technical guidance to ensure best practices are followed. Prepare high-quality technical documentation, SOPs, and client-facing deliverables. Represent the team in cross-functional discussions, reviews, and planning meetings.

Education:

M.Tech / M.Sc / B.Tech in Geo-Informatics, Geography, Remote Sensing & GIS, or a related field in Spatial Technologies

Experience:

Minimum 7 years of professional experience in GIS, Remote Sensing, or Spatial Analytics Proven ability to lead geospatial projects and coordinate with cross-location teams
Geospatial Tools & Software:


Expert-level proficiency in ArcGIS Pro, ArcGIS Desktop, QGIS, ERDAS Imagine, ENVI, IDRISI, and Google Earth Pro Familiarity with ArcGIS extensions: Spatial Analyst, 3D Analyst, Image Analyst, Network Analyst
Programming & Automation:


Advanced proficiency in Python and geospatial libraries: ArcPy, GDAL, GeoPandas, Rasterio, Fiona, Shapely, PyProj Experience with SQL and R for spatial queries and analysis Proven ability to build and maintain automated workflows for geospatial processing
Machine Learning & AI:


Experience applying ML/DL techniques to GIS data (e.g., object detection, classification, spatial clustering) Familiarity with scikit-learn, TensorFlow, or PyTorch is a plus
Data Handling & Analysis:


Strong skills in handling raster, vector, and LiDAR datasets Ability to extract meaningful insights through advanced spatial analysis
Communication & Collaboration:


Excellent communication skills for technical reporting and cross-functional coordination Proven ability to work both independently and collaboratively in a distributed team environment Strong organizational and time-management skills to handle multiple priorities and deliverables
Preferred/Desirable Skills:


Experience with WebGIS, ArcGIS Enterprise, or other web mapping platforms Familiarity with C#, HTML, Java, C++, MATLAB, Power BI, or ProjectPlace Understanding of geo-statistical techniques, data mining, and spatial modeling Interest or experience in catastrophe modeling, insurance, or risk analytics

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.


At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.


For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, 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 and Best Employer for Women, testaments to the value we place on workplace culture.


We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions -- provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision


Claims Solutions -- supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences


Property Estimating Solutions -- offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient


Extreme Event Solutions -- provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.


Specialty Business Solutions -- provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance


Marketing Solutions -- delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement


Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.


Verisk Maplecroft -- provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger


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. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.


https://www.verisk.com/company/careers/


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.