Data Science Intern (Remote)

Recruit Forge

Remote

Internship

₹7,500.00/mo - ₹10,000.00/mo

Posted June 3, 2025

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Job description

Data Science Intern

Company Overview

We are a research-driven AI company committed to developing intelligent solutions that transform businesses through automation and data-driven insights. Our culture encourages curiosity, innovation, and continuous learning, offering aspiring data professionals the opportunity to work on cutting-edge projects alongside industry experts.

Job Summary

We are looking for an AI & Data Science Intern to support data-driven projects by contributing to data analysis, machine learning model development, and visualization. This role is designed for individuals passionate about AI, statistical modeling, and data interpretation, offering hands-on exposure to real-world datasets and emerging technologies.

Key Responsibilities

Data Acquisition & Processing: Extract, clean, and structure data from various sources, including databases, APIs, and external datasets.
Exploratory Data Analysis (EDA): Identify trends, correlations, and key insights through statistical analysis and data visualization.
Machine Learning Development: Assist in designing, training, and fine-tuning machine learning models for predictive analytics and automation.
Visualization & Reporting: Develop interactive dashboards and data-driven reports using tools like Tableau, Power BI, or Python visualization libraries.
Collaboration & Implementation: Work closely with data engineers, software developers, and business analysts to implement AI-driven solutions.
Documentation & Research: Maintain detailed documentation of workflows, methodologies, and findings for future reference.
Continuous Learning & Innovation: Stay updated with the latest advancements in AI, machine learning techniques, and big data technologies.

Requirements / Qualifications

Currently pursuing or recently completed a degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field.
Strong programming skills in Python or R for data manipulation and machine learning.
Familiarity with data processing libraries (Pandas, NumPy, SciPy) and machine learning frameworks like scikit-learn, TensorFlow, or PyTorch.
Experience in writing SQL queries for data extraction and transformation.
Understanding of statistical concepts, probability, and model evaluation techniques.
Ability to create compelling data visualizations and reports to communicate insights effectively.
Strong problem-solving mindset and eagerness to learn in a fast-paced environment.