Job Description

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Role Overview:
We are seeking a highly skilled GIS Engineer / Data Scientist with hands-on experience in QGIS, Esri ArcGIS, and Python to support geospatial data analysis, visualization, and business decision-making. The role bridges the gap between geospatial technology and business analytics -- leveraging spatial data to deliver actionable insights and data-driven recommendations.
Key Responsibilities:

• Design, manage, and analyze geospatial datasets using QGIS and Esri ArcGIS tools.
• Perform spatial and statistical analysis to identify trends, patterns, and correlations across geographical data.
• Develop Python-based data pipelines, scripts, and automation for data cleaning, geoprocessing, and spatial modeling.
• Integrate GIS data with business intelligence, data science, and analytics platforms (e.g., Power BI, Tableau, Pandas, NumPy).
• Support business teams with map-based insights, dashboards, and geospatial visualizations.
• Work with large, multi-source datasets including shapefiles, GeoJSON, WMS/WFS, APIs, and satellite data.
• Collaborate with cross-functional teams (Data Engineering, Business, and Product) to define geospatial use cases and data-driven strategies.
• Present analytical outcomes and recommendations to stakeholders using clear visual and narrative storytelling.
• Ensure data quality, consistency, and standardization across geospatial datasets.

Required Skills and Qualifications:

• Bachelor's or Master's degree in Geoinformatics, Geography, Computer Science, Data Science, Statistics, or related field.
• Strong hands-on experience with QGIS and Esri ArcGIS (ArcGIS Desktop, ArcGIS Pro, ArcGIS Online).
• Proficiency in Python (Pandas, NumPy, GeoPandas, Shapely, ArcPy, or PyQGIS).
• Good understanding of geospatial analysis, coordinate systems, and spatial joins/intersections.
• Strong analytical, statistical, and problem-solving skills.
• Experience integrating GIS with Power BI or dashboards for visual analytics.
• Familiarity with machine learning or predictive modeling using Python (scikit-learn, XGBoost).

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.
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Skills Required