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:
- Bachelors or Masters 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. Were 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 information on employment scams is availablehere.
Required Experience:
IC
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 anal...
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:
- Bachelors or Masters 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. Were 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 information on employment scams is availablehere.
Required Experience:
IC
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