Data Science Intern

Role:

Organization:

Location:

Mode:

Duration:

Stipend:

Immediate Joining:

Preferred Candidates:

Freshers, Pre-Final Year Students, Final Year Students, Recent Graduates

🌟 About NeoSkillz

Data Science Internship Program

Interns will work on live projects, build end-to-end solutions, and receive continuous mentorship from experienced Data Science professionals.

Role Overview – Data Science Intern

Data Science, Machine Learning, and AI

Key Responsibilities

• Work with real-world datasets for data cleaning, preprocessing, and exploratory data analysis
• Build predictive models using Machine Learning algorithms
• Assist in developing end-to-end data pipelines and basic automation workflows
• Create data visualizations and dashboards using Python libraries such as Matplotlib, Seaborn, and Plotly
• Contribute to documentation, basic code reviews, and Git-based collaboration
• Prepare model evaluation reports and present insights to mentors
• Support ongoing projects in Data Science, AI, and Machine Learning
• Participate in regular mentorship sessions, stand-ups, and skill-building workshops
• Stay updated with emerging trends in Data Science, AI, and ML

📊 Performance Expectations

• During the internship, candidates are expected to:
• Complete weekly assignments and project milestones on time
• Demonstrate consistent improvement in Python, data handling, and ML fundamentals
• Collaborate effectively with mentors and peers
• Meet performance benchmarks to qualify for stipend and certification
• Top performers will be considered for

  advanced projects, paid opportunities, or future full-time roles

  .

💼 Compensation & Growth Opportunities

• Stipend:

  Performance-based

• Certificates:

  Internship Completion Certificate from NeoSkillz

• Additional Benefits:

• Letter of Recommendation (for eligible candidates)
• Hands-on experience with live project use cases
• Opportunity to work on paid or advanced projects
• Fast-track consideration for Data Science / ML roles

✅ Eligibility Criteria

• Freshers, students, or recent graduates passionate about Data Science
• Strong understanding of

  Python programming

• Basic knowledge of

  NumPy, Pandas, statistics, and Machine Learning concepts

• Familiarity with

  Jupyter Notebook, Git, SQL

  , and visualization libraries
• Strong problem-solving skills and willingness to learn
• Ability to commit

  8–12 hours per week (minimum)

🚀 Why Join NeoSkillz?

• Work on

  practical, real-world Data Science problems

• 100% remote internship with flexible learning hours
• Weekly

  1:1 mentorship

  from experienced professionals
• Strengthen your resume with

  industry-relevant project experience

• Build a strong foundation for careers in

  Data Science, ML, and AI