Senior GIS Engineer II

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.

Responsibilities

• 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
QUALIFICATIONS
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

About Us
Our People, Our Culture
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. 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. Learn more about Verisk and what we are doing within the insurance industry.

When you join Verisk, you become part of a diverse global team with over 7,500 professionals in 30 plus countries, making work that matters. We're certified by Great Place to Work, reflecting our commitment to inclusivity, employee engagement, and wellbeing. At Verisk, your growth is a priority—from professional development and tuition benefits to a supportive, flexible workplace culture, we support your continued growth.

Our Culture
: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition
: See why Verisk is consistently recognized as a Great Place to Work around the world.

Our Businesses
: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk
: Discover what it's like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk
: 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

Let's build something meaningful together

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.

At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure.

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