Data Science Intern

About CodeHood

CodeHood is a NASSCOM-verified EdTech organization focused on bridging the gap between industry and academia. We collaborate with colleges and companies across India to provide students with real-world learning, internships, and career opportunities in emerging technologies.

We are looking for passionate and curious Data Science Interns who are eager to work on real-time projects, data-driven problem solving, and AI-based applications.

Job Role: Data Science Intern

Location: Remote

Duration: 36 Months

Internship Type: Full-time / Part-time

Stipend: Performance-based / As per company policy

Roles & Responsibilities

1. Collect, clean, and analyze structured and unstructured data
2. Build dashboards, reports, and visualizations for insights
3. Work on machine learning and predictive analytics projects
4. Assist in developing AI/ML models using Python libraries
5. Perform data preprocessing and feature engineering
6. Interpret trends, patterns, and business insights from datasets
7. Collaborate with technical and non-technical teams
8. Document findings and present reports to mentors/team leads
9. Work on live industry-oriented projects under guidance

Required Skills

1. Basic understanding of Data Science and Machine Learning concepts
2. Knowledge of Python programming
3. Familiarity with libraries such as Pandas, NumPy, Matplotlib, Scikit-learn
4. Understanding of statistics and data analysis
5. Knowledge of SQL and databases is a plus
6. Good problem-solving and analytical thinking skills
7. Strong communication and teamwork abilities

Eligibility Criteria

1. Pursuing or recently completed:
2. B.E / B.Tech
3. BCA / MCA
4. B.Sc / M.Sc (CS, IT, Data Science, Statistics)
5. Passionate about AI, ML, and data-driven technologies

What Youll Gain

1. Hands-on experience on real-time projects
2. Mentorship from industry professionals
3. Internship completion certificate
4. Letter of Recommendation (based on performance)
5. Opportunity to work with industry collaborations and startup ecosystem
6. Potential full-time opportunity for top performers

Perks

1. Remote work flexibility
2. Flexible working hours
3. Learning-focused environment
4. Exposure to industry tools and workflows