Innoknowvex has opened applications for its Data Science Internship (Work From Home) for candidates who want hands-on exposure to real-world data analytics and machine learning projects. This internship is ideal for students and fresh learners who are looking to strengthen their practical skills in data collection, data analysis, machine learning modeling, and reporting. With a stipend ranging from ₹7,000 to ₹25,000 per month and a potential full-time job offer, this opportunity is highly valuable for aspiring data professionals.
The internship duration is 2 months, and selected candidates can start immediately. Women looking to start or restart their careers are also encouraged to apply.
About Innoknowvex
Innoknowvex is a modern edtech and career development platform that connects students with internships, professional training programs, industry mentors, and career opportunities. The company focuses on bridging the gap between academic learning and industry requirements by offering hands-on projects, expert mentorship, and industry-aligned training.
Through its structured approach, Innoknowvex empowers students to gain practical experience, improve employability, and transition smoothly into professional roles across data science, technology, and management domains.
Internship Role Overview
As a Data Science Intern, you will work on real datasets and assist in building analytical and machine learning solutions. The role covers the complete data science lifecycle, starting from data collection and cleaning to exploratory analysis, feature engineering, modeling, and reporting.
This internship is designed to provide practical exposure rather than just theoretical learning. Interns will collaborate with mentors and team members, participate in discussions, and present findings based on their work.
Key Responsibilities
Collect data from internal systems, APIs, or public datasets
Clean and preprocess data by handling missing values, inconsistencies, and errors
Transform raw data into structured formats suitable for analysis
Perform exploratory data analysis (EDA) to identify trends, patterns, and insights
Apply statistical methods to detect correlations, anomalies, and outliers
Visualize data using charts, graphs, and dashboards with tools like Matplotlib, Seaborn, or Tableau
Create new features to improve model performance
Normalize, encode, and scale data for machine learning tasks
Assist in building predictive and classification models using Python or R
Evaluate model performance using metrics such as accuracy, F1-score, RMSE, and precision
Fine-tune model hyperparameters and document results
Prepare reports summarizing insights, analysis outcomes, and model performance
Maintain proper documentation for code, workflows, and methodologies
Present findings to mentors or team members during review meetings
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Required Skills
Basic to intermediate understanding of Data Analytics concepts
Knowledge of Machine Learning and Deep Learning fundamentals
Working knowledge of SQL for data querying
Familiarity with Python-based data science libraries
Analytical mindset and ability to work with data-driven problems
Interest in learning industry-level data science practices
Who Can Apply
Candidates who are available for a work-from-home internship
Applicants who can start between 17th December 2025 and 21st January 2026
Candidates available for the complete 2-month duration
Students or freshers with relevant skills and interest in data science
Women candidates looking to start or restart their careers
Engineering students, management students, student coordinators, event coordinators, and placement coordinators
Stipend Details
The stipend for this Data Science Internship ranges between ₹7,000 and ₹25,000 per month.
Fixed Pay: ₹5,000 to ₹20,000 per month
Incentive Pay: ₹2,000 to ₹5,000 per month
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Job Offer & Expected Salary
Candidates who successfully convert to a full-time role after the internship can expect an annual salary between ₹4,00,000 and ₹7,00,000, depending on performance, skills, and role requirements.
Perks and Benefits
Internship completion certificate
Letter of recommendation
Work-from-home flexibility
Hands-on experience with real data science projects
Opportunity for a full-time job offer
How to Apply
Interested candidates should prepare a strong resume highlighting relevant coursework, data science projects, SQL knowledge, and machine learning exposure. Demonstrating hands-on practice through personal or academic projects will significantly improve selection chances. Apply by clicking the Apply button below before 16 January 2026.
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