Data Science Intern

1. Prepare and analyze datasets by performing data cleaning, preprocessing and exploratory analysis. 2. Use Python libraries such as Pandas, NumPy, Matplotlib and Scikit-learn for data analysis and model development.

3. Apply statistical and machine learning techniques to identify patterns and generate useful predictions or insights. 4. Develop, test and evaluate basic machine learning models as part of practical data science projects.

5. Participate in mentor-led sessions, incorporate feedback and complete assigned projects and documentation. Who can apply: Only those candidates can apply who: • are available for the work from home job/internship • can start the work from home job/internship between 20th Oct'26 and 24th Nov'26 • are available for duration of 2 months • have relevant skills and interests • * Women wanting to start/restart their career can also apply.

Stipend: INR₹ 7,000 - 20,000 /month Deadline: 2026-11-19 23:59:59 Other perks: Certificate, Letter of recommendation, Flexible work hours, 5 days a week Skills required: Python, SQL, Data Science, Natural Language Processing (NLP) and Deep Learning Other Requirements: • 1.

Students currently pursuing college, including those in their 1st, 2nd, 3rd or final year, are eligible to apply. • 2. Fresh graduates, entry-level candidates and individuals looking to restart their careers after a gap are welcome.

• 3. Applicants from Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Engineering or related backgrounds may be preferred, while candidates from other academic disciplines can also apply.

• 4. Candidates interested in data, Python, statistics and machine learning are encouraged to apply. Prior knowledge of Python or machine learning is helpful but not required.

• 5. Applicants should be ready to learn, work with datasets, complete practical projects and take guidance from mentors throughout the internship. About Company: Opalcode is a technology-driven organization focused on building practical digital solutions while creating opportunities for emerging talent.

We work across areas such as software development, data analytics, artificial intelligence, cybersecurity, and business technology. Our approach emphasizes hands-on projects, industry-oriented exposure, and continuous skill development, enabling aspiring professionals to gain practical experience and contribute to real-world technology initiatives.