GIS Engineer / Data Scientist

Job Description:

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.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.