Job Title:  T&T - OIDS - Manager - Data Scientist - Bangalore

The Team

Deloitte’s Technology and Transformation team converts raw satellite imagery to a deliverable analytical product which includes writing processing code, designing the statistical approach, and communicating the results clearly. The practice can help you uncover and unlock the value buried deep inside vast amounts of data.

The team combines geospatial domain knowledge with a practical, hands-on approach to building things.Our team works across platforms and environments including Google Earth Engine, Python, QGIS, and cloud infrastructure, but is fundamentally focused on solving applied problems with spatial data rather than adhering to a fixed toolset.

Our global network provides strategic guidance and implementation services to help companies and Governments manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage.

Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning all leveraging data from satellites, UAVs, IoT sensors etc. across environment and sustainability, infrastructure, and energy domains.

Your work profile

• This role sits at the intersection of geospatial/remote sensing science and AI  - suited to someone who can work programmatically with satellite data, build reproducible analytical workflows, and deliver insights that drive real decisions.
• The candidate should be a solution-oriented geospatial engineer/ scientist with strong analytical and programming skills to support the development and delivery of applied geospatial and remote sensing solutions across environment and sustainability, infrastructure, and energy domains.
• Design and execute analytical workflows for environmental monitoring, change detection, emissions analysis, and infrastructure assessment using satellite and spatial datasets.
• Build and maintain processing scripts and pipelines for satellite data acquisition, ingestion, quality control, and feature extraction.
• Work with satellite data from public and private platforms— using both programmatic tools and desktop GIS as appropriate.
• Perform statistical analysis, time-series assessment, and anomaly detection on geospatial datasets to identify trends and actionable signals.
• Produce client-ready outputs including maps, charts, reports, and spatial data products.
• Collaborate with engineering, data science, and domain teams to translate client questions into structured analytical approaches.
• Support ground-truthing and validation activities, integrating field data, drone imagery, and in-situ measurements including IoT sensors with satellite-derived products.
• Contribute to the development of repeatable frameworks and methodologies that can be scaled across locations, clients, and sectors.
• Stay current with developments in satellite platforms, Geo-AI models/embeddings, sensor capabilities, geospatial tools, and analytical techniques relevant to the role.

Key skills required: 

• Strong programming skills in Python, with experience building data processing and analysis workflows using geospatial libraries such as Rasterio, GeoPandas, xarray, GDAL, Shapely, or equivalent. Experience with additional languages: JavaScript/TypeScript (for Earth Engine or web tools), SQL (for spatial databases such as PostGIS or BigQuery).
• Experience working with satellite platforms and sensors including optical, SAR, and atmospheric / meteorological data
• Proficiency with geospatial software and tools such as Google Earth Engine, QGIS, ArcGIS, or equivalent.
• Experience working with fused or multi-source datasets, combining satellite imagery with drone/UAV data, LiDAR, IoT sensor feeds, or other complementary spatial data sources.
• Demonstrated experience of working with satellite image processing techniques including atmospheric correction, cloud masking, spectral index computation, and change detection.
• Experience with ground-truthing and validation workflows — integrating satellite-derived products with field measurements, in-situ sensor data (IoT), or ground survey results to assess accuracy and calibrate analytical outputs.
• Familiarity with InSAR processing techniques for ground deformation monitoring, subsidence detection, or infrastructure stability assessment.
• Experience with cloud-based geospatial processing environments such as Google Earth Engine (Python or JavaScript API), GCP, or AWS.
• Working knowledge of machine learning techniques applied to geospatial data, such as classification, segmentation, object detection, or anomaly detection.
• Experience building and managing data pipelines, APIs, or backend services that serve geospatial products to downstream applications or users.
• Experience with version control (Git) and reproducible analytical workflows.
• Ability to perform statistical analysis and time-series modelling on spatial datasets.
• Familiarity with containerization (Docker), CI/CD pipelines, or infrastructure-as-code for deploying geospatial workflows.
• Experience greenhouse gas emission / water quality monitoring / infrastructure analysis / disaster prediction models using satellite data, including plume detection, emission rate estimation, or concentration mapping using platforms.
• Strong written and verbal communication skills, with the ability to present technical findings to non-technical audiences.
• Comfortable working in a consulting or project-based environment with shifting priorities and multiple concurrent workstreams.
• Experience working in multidisciplinary teams spanning engineering, data science, and domain specialists.

Qualifications

• Master’s degree/Ph.D in remote sensing/geospatial engineering/geoscience/environmental science/computer science/physics, or a related discipline with experience in emission monitoring/water quality monitoring/infrastructure monitoring.
• 8 - 10 years of demonstrated experience in geospatial analysis, remote sensing, earth observation, or spatial science.

Location and Way of Working: 

• Base location: Bengaluru
• On-site