Data Science Intern

Position: Data Science Intern

Company: IGNITERN

Location: Remote

Duration: 36 Months

Stipend: Unpaid

Type: Internship (Certificate Provided)

About IGNITERN:

IGNITERN is a forward-thinking digital solutions company dedicated to nurturing emerging talent in the tech space. We focus on real-world problem-solving, innovation, and offering early-career professionals an opportunity to explore and grow in their field.

Internship Overview:

We are seeking Data Science Interns who are passionate about data, eager to build models, analyze trends, and create insights that support business strategies. If you&aposre enthusiastic about applying machine learning and statistical techniques in real-world contexts, this internship is for you.

Roles & Responsibilities:

Assist in collecting, cleaning, and preparing data for analysis

Apply machine learning algorithms, statistical models, and exploratory data analysis techniques

Collaborate with cross-functional teams to define problems and propose data-driven solutions

Develop visualizations, predictive models, and performance reports

Document processes and present findings in a clear, actionable format

Who Can Apply:

Students or recent graduates in Computer Science, Data Science, Engineering, Statistics, or a related field

Must be available for at least 3 months

This is a remote and unpaid internship focused on skill-building and learning

Required Skills:

Proficiency in Python (NumPy, pandas, etc.)

Knowledge of machine learning concepts and basic algorithms

Familiarity with data visualization tools like Matplotlib or Seaborn

Strong analytical thinking and attention to detail

Good written and verbal communication skills

What You&aposll Gain:

Practical, hands-on experience working on live projects

Mentorship and collaboration with experienced data professionals

Internship Certificate upon successful completion

Portfolio development with real-world data science tasks

Opportunity to grow in a supportive, learning-focused environment

How to Apply:

Send your resume and any supporting work (GitHub, Kaggle, reports, etc.) to:

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Shortlisted candidates will be contacted for a brief assignment or interview.