8 Geospatial Data Jobs

We are looking for Geospatial AI Engineer (Satellite, Drone & LiDAR Data Processing) Location - Mumbai. (WFO). Role Overview: We are looking for a Geospatial AI Engineer with hands-on experience in processing satellite, drone, and LiDAR data and deploying AI models for geospatial applications. The ideal candidate should have expertise in remote sensing, deep learning, and scalable AI deployment for real-world geospatial use cases. Key Responsibilities: - Geospatial Data Processing: Preprocess and analyze satellite, drone, and LiDAR datasets using GIS and remote sensing tools. - AI Model Development: Build, train, and fine-tune AI models for object detection, segmentation, land use classification, and anomaly detection in geospatial data. - Model Deployment & Optimization: Deploy geospatial AI models on cloud (AWS/GCP) and edge devices (Jetson, embedded systems), ensuring scalability and efficiency. - Geospatial Visualization: Utilize GIS tools (ArcGIS, QGIS, Google Earth Engine) to visualize and interpret model outputs. - Data Pipeline Automation: Develop end-to-end pipelines for geospatial AI workflows, integrating cloud storage, inference, and post-processing. - Collaboration: Work with GIS specialists, remote sensing experts, and software engineers to develop production-ready AI solutions. Required Skills: - Remote Sensing & GIS: Hands-on experience in processing and analyzing satellite, drone, and LiDAR data. - AI/ML for Geospatial Data: Proven experience in deep learning frameworks (TensorFlow, PyTorch) for geospatial applications. - Programming: Strong Python skills (Geopandas, Rasterio, OpenCV, PyTorch/TensorFlow). - Geospatial Data Processing: Experience with GDAL, PDAL, Google Earth Engine, and spatial databases (PostGIS). - Model Deployment: Hands-on experience deploying AI models on AWS/GCP/Azure and edge devices like NVIDIA Jetson. - End-to-End AI Solutions: Prior experience in deploying and maintaining geospatial AI models in real-world applications. Preferred Experience: - Proven track record of deployed models for land use classification, vegetation classification, deforestation monitoring, infrastructure mapping, flood prediction, etc. - Experience in optimizing AI models for real-time inference on cloud and edge computing platforms. - Exposure to hyperspectral/multispectral imagery and SAR data processing. - Knowledge of MLOps for managing geospatial AI pipelines. Education & Qualifications: Bachelor's/Masters degree in Computer Science, GIS, Remote Sensing, AI/ML, or a related field. 3+ years of industry experience with hands-on model deployment.

FarmwiseAI is an AgriTech company leveraging AI-driven solutions to optimize farm management, empowering farmers with data-driven insights for sustainable agriculture. We seek a Senior Data Scientist to drive AI/ML initiatives, collaborating with cross-functional teams to develop AI-powered solutions. Responsibilities include developing and optimizing ML models for predictive analytics and image processing, working with large agricultural datasets such as satellite and drone data, deploying models into production, ensuring scalability, staying updated on AI/ML advancements, and mentoring junior team members. Candidates should have a Masters or PhD in Data Science, Computer Science, or a related field, with 5+ years of experience in AI/ML and at least 2 years in a leadership role. Technical skills required include Python, TensorFlow, PyTorch, Scikit-Learn, and experience with cloud platforms (AWS/GCP/Azure), with GIS knowledge being a plus. Strong problem-solving, communication, and leadership skills are essential.

Job Title: ArcGIS Geospatial Analyst Job Location: Hyderabad No. of positions: 05 Project Duration: Long term Experience Needed: 3 - 5 Years Key Responsibilities: Analyze and interpret geographic and spatial data using ArcGIS Pro , ArcGIS Online , and related tools Design and implement spatial models, overlays, and geostatistical analyses to support decision-making Produce high-quality maps, dashboards, and data visualizations for internal and external use Integrate and process spatial data from a variety of sources including GPS, satellite imagery, CAD, and open data portals Automate geospatial processes and analysis workflows using Python (ArcPy) , ModelBuilder , or SQL Maintain geospatial data accuracy, metadata standards, and documentation protocols Collaborate with cross-functional teams including engineers, planners, and data scientists Present spatial findings through reports, visualizations, and briefings to stakeholders Required Skills & Qualifications: Bachelors or Masters degree in GIS, Geography, Environmental Science, Urban Planning, Data Analytics, or a related field Minimum 3 years of professional experience performing geospatial analysis with ArcGIS Strong proficiency in geospatial concepts including projections, geoprocessing, and cartographic design Experience with spatial statistics, raster analysis, and vector modeling Working knowledge of scripting languages: Python , SQL , or R (for spatial data manipulation) Excellent analytical thinking, attention to detail, and communication skills Ability to work both independently and as part of a collaborative team Preferred Certifications: Esri Technical Certification (e.g., Geospatial Analyst Professional , GIS Desktop Associate ) GISP (Certified GIS Professional) highly valued Familiarity with open-source GIS (e.g., QGIS, GDAL), remote sensing, or cloud-based GIS platforms is a plus Job REF Code: GIS_GSA_0525 EMAIL ID: spectrumconsulting1985@gmail.com Please Email Your CV with Job REF Code [ GIS_GSA_0525 ] as subject

Role Overview: We are seeking a skilled and analytical Climate Risk Analyst to join our sustainability team. In this role, you will apply NGFS and IPCC frameworks to evaluate and quantify both physical and transition climate risks across diverse client portfolios. You'll build probabilistic models, design stress-testing scenarios, and integrate datasets ranging from GIS layers to supply-chain metrics. Partnering with finance, operations, and data engineering teams, you'll translate complex climate trajectories such as carbon pricing, regulatory shifts, and technology adoption into clear, actionable insights and robust risk-management strategies that help our clients enhance resilience and capitalize on emerging opportunities. Key Responsibilities: Conduct climate risk assessments using NGFS and IPCC frameworks to identify client-specific risks and opportunities Develop and execute stress-testing scenarios to evaluate climate impacts on financial portfolios Collect, clean, and integrate diverse datasets (e.g., geospatial layers, historical weather records, supply-chain metrics) Build probabilistic models to quantify hazard frequency, exposure, and vulnerability at the asset and portfolio levels Parameterize transition-risk factors (carbon-pricing trajectories, regulatory changes, technology adoption rates) across multiple climate pathways Collaborate with cross-functional teams to produce comprehensive reports and presentations on climate risk management strategies Translate quantitative findings into clear recommendations for risk mitigation and opportunity capture Required Skills: Strong understanding of physical and transition climate-risk concepts and frameworks (NGFS, IPCC) Proven experience in stress-testing and scenario analysis within a financial or risk-management context Proficiency in statistical and probabilistic modeling techniques (e.g., Monte Carlo simulation) Hands-on experience with data integration and analysis tools (Python/R, SQL, GIS software) Familiarity with cloud-based data platforms and ETL pipelines Excellent quantitative and analytical abilities, with strong attention to detail Exceptional communication skills, able to distill complex analyses into concise, client-ready insights Proven ability to work collaboratively in cross-disciplinary teams Perks and Benefits: Work on a ground-breaking product that significantly contributes to sustainability Exposure to advanced AI tools and methodologies to enhance your development skills and productivity Competitive salary with a comprehensive benefits package Flexible work arrangements A vibrant, inclusive, and supportive team environment Opportunities for professional growth and continuous learning

Senior Subsea Surveyor The Senior Subsea Surveyor is a team member of the Subsea, Civil, and Marine Engineering team within ENGINE Center and provides deep technical expertise in land C hydrographic survey C positioning principles, data collection, processing and quality control. This role requires knowledge in applying geospatial processing and visualization packages such as: ESRI Geographic Information Systems (GIS), EIVA, AutoCAD, Cyclone, etc. to derive valuable insight for our business. The successful candidate will need to have a strong core knowledge on the application of coordinate reference systems, transformations, and vertical datums. The successful candidate will be responsible for advising Upstream Major Capital Projects (from concept development to commissioning), Base Business Subsea Operations, Downstream Manufacturing Facilities development C maintenance operations across multiple international locations. Key Responsibilities Provide short-term survey C positioning support to Major Capital Projects and assets globally to ensure technical excellence and operational efficiency. Review of survey procedures, site representation, acoustic frequency management planning, subsea metrology, offshore installation, subsea intervention, and inspection of subsea facilities and pipelines. Leverage data and software engineering techniques to create business value through data accessibility, data processing, data management and application of GIS. Understanding the business needs of the corporation to support work processes and strategic business objectives. Initiate and lead research and development programs to deliver new technologies to the business. Establishes C maintains working relationships with key stakeholders within the ENGINE, Technology Center, Capital Projects, and Business Units across the enterprise. Collaborate with industry peers on developing standards, data models and best practice to drive efficiency. Preferred Qualification A minimum of 10-15 years experience in land C offshore positioning, geophysical survey, terrestrial laser scanning and photogrammetric surveys, aerial LiDAR surveys, survey control networks and construction support. Demonstrated success working on multi-discipline teams as a technical contributor. Experience applying agile project management principles. Familiarity with the development and application of Generative Artificial Intelligence (GENAI) tools C platforms is highly regarded. Experience working with diverse geospatial 3D data types e.g. Digital Terrain Models (DTM), LiDAR point clouds, orthomosaics, Business Information Models (BIM) etc.

Role Description: Retail / CPG domain experience is a must have . Quick commerce (optional) Prior experience in using datasets such as - Geo data, share of wallet data, demographic data, geospatial analytics Candidate who has very specifically worked on projects where new stores / outlets were opened using below skill sets. Functional Knowledge Required: Category / Product Analytics (Must have) : Product Assortment Analysis, identifying trends and patterns in category performance, new product launches Geo-Spatial Analytics (Must have): GIS tools (ArcGIS or QGIS), Location-based analysis (spatial matching, trade area analysis), Spatial data visualization Customer Analytics (Good to have): Using Loyalty and Customer data for direct marketing campaigns and campaign measurement Sales Data Analysis (Must have): Analysing sales trends, forecasting performance and identifying key sales drivers Should have strong story telling skills: Ability to explain complex data to non-technical / business teams Skills: Proven experience as a Data Scientist or similar role. Strong knowledge of Data Analysis, Statistics, Machine Learning, Model Evaluation Techniques and Model Interpretation. Proficiency in data science tools and programming languages such as Python, R, Azure Databricks, SQL, etc. Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Power BI, Spotfire or other visualization tools (optional) Years of experience: 5 to 7 years relevant experience in Analytics

Business Analyst Location - Hyderabad Exp - 3 ys + Data Analysis and Insights Collect, analyze, and interpret data related to map curation and abuse operations to identify trends and areas for improvement. Develop dashboards and reports to monitor key performance indicators (KPIs), including accuracy, timeliness, and efficiency. Provide actionable insights to support decision-making for operational and strategic initiatives. Process Improvement Work closely with operations, quality, and process excellence teams to identify inefficiencies and recommend process enhancements. Collaborate with stakeholders to implement data-driven solutions to improve workflows, reduce errors, and enhance productivity. Support automation initiatives by analyzing the impact of tools and technology on operations. Stakeholder Collaboration Partner with operations managers, quality teams, and clients to understand business requirements and translate them into analytical deliverables. Present findings and recommendations to stakeholders through clear, concise, and impactful communication. Act as a bridge between technical teams and operational teams to ensure alignment on data and analytics objectives. Performance Monitoring Track and evaluate the effectiveness of operational strategies, workflows, and training programs. Identify root causes of performance gaps and recommend corrective actions. Design and implement frameworks to monitor policy adherence and quality standards. Tool and System Optimization Leverage advanced analytics tools to enhance data visualization and reporting. Provide input on tool improvements or new tool implementation to support operational goals. Ensure data accuracy and integrity in all reporting and analysis efforts. Qualifications Education Bachelors degree in Business Analytics, Data Science, Geography, or a related field. Masters degree or certifications in Business Analysis, Data Analytics, or GIS tools is an advantage. Experience 3+ years of experience as a business analyst or data analyst, preferably in map operations, geospatial data, or content moderation. Proven track record in using data to drive operational improvements. Skills Proficiency in analytics tools such as SQL, Tableau, Power BI, or similar platforms. Strong understanding of geospatial data and mapping tools is an advantage. Excellent problem-solving and critical-thinking skills. Strong communication and stakeholder management abilities. Experience with process improvement methodologies (e.g., Lean, Six Sigma) is a plus.

Essence of the profile GIS Engineer will be a member of Geospatial/Product Development Team. He/She should be passionate around solving business problems through innovation & engineering practices. This person will be required to apply his/her depth of knowledge and expertise to all aspects of the geospatial lifecycle, as well as partner continuously with our many stakeholders on a daily basis to stay focused on common goals. This role requires a wide variety of strengths and capabilities, including: Required 1. Strong oral and written communication skills. 2. Create and automate workflows with Python libraries such as Geopandas, GDAL, Rasterio etc. 3. Leverage AWS cloud computing technologies for geospatial data processing and storage. 4. Design, develop, and manage GIS solutions using platforms like ArcGIS, QGIS, GeoServer. Good to have : 1. Conduct research to identify new Catastrophe datasets which can be added to the product catalog. 2. Conduct spatial data analysis, visualization, and geoprocessing tasks 3. Integrate GIS solutions with other platforms, databases, and APIs. 4. Troubleshoot and resolve GIS-related issues to ensure optimal performance and reliability. 5. Deploy and manage infrastructure and data services for efficient geospatial data processing. 6. Utilize Python and SQL for geospatial data manipulation, analysis, and querying. 7. Possess a background in working with geospatial data, including raster and vector formats, and applying spatial analysis techniques and modelling approaches related to catastrophe insurance industry. 8. Work with internal teams and stakeholders to gather requirements, propose solutions, and present findings.