Data Scientist Internship

Data Science Intern

Company: OpalCode

Location: Noida, Uttar Pradesh

Duration: 2 Months

Work Mode: Remote (Work From Home)

Stipend: 15,000 - 20,000 per month 

About OpalCode

OpalCode is a Noida-based IT company providing technology-driven solutions and digital services to clients across diverse industries. We specialize in software development, data analytics, and technology consulting, helping businesses improve efficiency, solve complex challenges, and achieve their digital transformation goals.

Internship Overview

We are looking for motivated and analytical Data Science Interns interested in working with datasets, developing predictive models, and solving real-world problems using statistical analysis and machine learning techniques. Interns will gain practical exposure to data preprocessing, model development, experimentation, and insight generation.

Roles and Responsibilities

• Collect, clean, preprocess, and analyse structured and unstructured datasets.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships.
• Use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.
• Apply statistical methods and machine learning algorithms to practical problems.
• Build, train, test, and evaluate predictive models using Scikit-learn.
• Work on feature engineering, model validation, and performance improvement.
• Present findings through visualizations, reports, and project documentation.
• Collaborate with team members on practical data science projects.

Required Skills

• Basic knowledge of Python programming.
• Familiarity with Pandas, NumPy, and data visualization libraries.
• Understanding of statistics, probability, and exploratory data analysis.
• Basic understanding of machine learning concepts and algorithms.
• Strong analytical thinking, problem-solving, and attention to detail.
• Willingness to learn new tools and work with real-world datasets.

Eligibility Criteria

• College students, freshers, and recent graduates may apply.
• Candidates from Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields are preferred.
• Candidates with academic projects or personal projects in Python, analytics, or machine learning will have an added advantage.

What You Will Gain

• Hands-on experience with practical data science projects.
• Exposure to machine learning workflows and industry-relevant tools.
• Opportunities to build a project portfolio and strengthen your resume.
• Internship completion certificate and Letter of Recommendation (LOR) for eligible performers.
• Career guidance and professional development support.

How to Apply

Interested candidates can apply with an updated resume highlighting their Python skills, academic or personal projects, and interest in data science.

Note: The stipend is performance-based, and the amount awarded within the 15,00020,000 monthly range depends on performance and applicable program terms.