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Data Science Intern

Job in 201301, Noida Sector 27, Uttar Pradesh, India
Listing for: ISIR AI
Apprenticeship/Internship position
Listed on 2026-08-30
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Engineering, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Noida Sector 27

We’re Hiring:
Data Science Intern

ISIR AI Tech Pvt. Ltd. provides AI, data analytics, GIS, and technical consulting solutions for projects across the energy, marine, metocean, climate, environmental, and infrastructure sectors.
We are looking for a motivated Data Science Intern who can go beyond simply processing data. The successful candidate should understand why an analysis is being performed, connect it with the broader project context, and translate complex datasets into meaningful conclusions, appropriate visualizations, geospatial outputs, AI/ML solutions, and professional technical reports.

This is a growing role with significant opportunities to learn, implement, optimize, innovate, and gradually lead data-driven project activities. The selected candidate will work on real consulting assignments involving multidisciplinary technical projects and long-term datasets covering 10–20 years or more.

The work may involve:
Energy and operational data
Metocean and climate data
Marine traffic and AIS data
Environmental and infrastructure datasets
GIS and geospatial datasets
Shape files, GeoJSON, KML/KMZ, GeoTIFF, raster, vector, and coordinate data
Long-term historical, spatial, and time-series data
AI and machine-learning applications

Key responsibilities:

Understand each project’s objectives, technical context, and analytical requirements
Organize, clean, validate, process, and analyse large and complex datasets
Work with GIS data, including shape files, raster and vector layers, spatial boundaries, coordinates, projections, and coordinate reference systems
Perform geospatial analysis, spatial joins, overlays, buffering, clipping, interpolation, and location-based assessments
Integrate GIS, time-series, environmental, marine, climate, and operational datasets
Develop professional maps, heatmaps, density plots, route plots, spatial visualizations, charts, and analytical tables
Identify meaningful trends, patterns, spatial relationships, anomalies, limitations, and uncertainties
Select appropriate analytical and visualization methods based on the purpose of the assessment
Develop, train, validate, evaluate, and optimize appropriate AI and machine-learning models
Apply regression, classification, clustering, forecasting, anomaly detection, and predictive analysis where relevant
Evaluate model performance and explain the practical meaning and limitations of the results
Translate analytical findings into meaningful technical conclusions and recommendations
Prepare precise and professionally written technical reports, which may range from 100 to 300 pages depending on the project
Professionally format Microsoft Word reports, including headings, tables, figures, captions, numbering, cross-references, references, and consistent styles
Maintain well-organized Python scripts, GIS files, datasets, models, outputs, references, and project folders
Automate and optimize data-processing, GIS, visualization, AI/ML, and reporting workflows
Gradually take ownership of analytical tasks and lead defined project work streams as capabilities develop

Required skills and experience:
Strong proficiency in Python
Strong practical project experience in data science, GIS, AI, and machine learning

Experience with Pandas, Num Py, Matplotlib, Seaborn, Scikit-learn, and related libraries

Experience with GIS tools and libraries such as QGIS, ArcGIS, Geo Pandas, Shapely, Rasterio, Folium, or equivalent tools
Practical experience working with shape files, GeoJSON, KML/KMZ, raster data, vector layers, projections, and coordinate reference systems
Sound understanding of data cleaning, validation, processing, statistical analysis, and visualization
Practical understanding of machine-learning workflows, including feature engineering, model selection, training, validation, performance evaluation, and optimization
Ability to connect data analysis, GIS outputs, and AI/ML results with the wider project purpose
Excellent analytical and problem-solving abilities
Precise and professional English writing skills
Strong Microsoft Word formatting and technical report-development capabilities
Excellent attention to detail and commitment to quality
Strong organizational and…
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