Overview
Data Scientist Jobs in Ahmedabad, Gujarat, India at Adani Natural Resources
Title: Data Scientist
Company: Adani Natural Resources
Location: Ahmedabad, Gujarat, India
Responsibilities
- Geoscience Data Integration & Spatial Analytics
- Integrate and preprocess multisource geoscience datasets, including:
- Geochemical data
- Geophysical layers
- Lithological maps
- Structural GIS datasets
- Utilize Python libraries (NumPy, Pandas, GDAL) and GIS tools (QGIS, ArcGIS) to automate spatial workflows and develop reproducible data pipelines.
- Mineral Prospectivity & Potential Mapping
- Build mineral prospectivity models using:
- Convolutional Neural Networks (CNN)
- Fuzzy Inference Systems (FIS)
- Random Forest and other ensemble techniques
- Generate mineral potential maps (MPMs) by integrating geological evidence layers and machine learning outputs.
- Validate models using accuracy assessments, spatial crossvalidation, and performance metrics.
- Machine Learning & Predictive Modeling
- Design and implement ML models for classification, pattern recognition, and mineralization prediction (achieving up to ~85% accuracy in past projects).
- Optimize model performance, feature engineering, and hyperparameter tuning for geospatiallyinformed datasets.
- Collaborate with domain experts to translate geological insights into MLready features.
- Software Development & Automation
- Develop automated geoprocessing tools and scripts for largescale spatial data handling.
- Implement reproducible analytics using Python, SQL, and opensource geospatial frameworks.
- Support deployment of analytical tools and dashboards for realtime monitoring and visualization.
- Visualization & Reporting
- Create clear, informative visualizations using Power BI, Matplotlib, and GIS platforms.
- Prepare technical reports, workflow documentation, and presentations for internal and external stakeholders.
Qualifications
Technical Skills
- Programming: Python, SQL
- Machine Learning: CNN, FIS, Random Forest, supervised & unsupervised learning
- Geospatial Tools: QGIS, ArcGIS, GDAL
- Data Visualization: Power BI, Matplotlib
- Web Technologies (Additional Advantage): HTML, CSS, PHP, jQuery
- Experience – 3-5 Years
Domain Expertise
- Strong exposure to geoscience data integration, geological datasets, and mineral exploration workflows.
- Experience in developing mineral prospectivity maps, handling mineral exploration datasets, and applying ML techniques to identify mineralization zones.
- Ability to work with interdisciplinary teams including geologists, geophysicists, and remote sensing experts.
Professional Experience
- Experience contributing to government or scientific organizations, including developing MLbased mineralization prediction models and automating geospatial workflows.
- Prior roles in software or web development, demonstrating strong problemsolving, system design, and fullstack capabilities.
