Data Science Intern

internmoIndia

Location
India
Posted
Status
Closed

About this role

This open collaboration program is designed for aspiring data scientists to gain hands-on, real-world experience, moving beyond traditional internships.

🎯 About the Role

At Internmo, this isn't a traditional job or a standard internshipβ€”it’s an open collaboration program designed for aspiring data scientists to gain hands-on, real-world experience. If you are self-taught, a student, or transitioning careers, this is a space for you to work on actual business challenges, build your machine learning portfolio, and learn by doing alongside our team.

πŸ› οΈ Key Responsibilities

  • 🧹 Process & Prep Data: Clean, preprocess, and engineer features from messy, real-world datasets.
  • πŸ” Explore & Analyze: Conduct Exploratory Data Analysis (EDA) to uncover hidden patterns, trends, and correlations.
  • πŸ€– Train & Test Models: Build, tune, and evaluate foundational machine learning algorithms (e.g., regression, classification, clustering).
  • πŸ—£οΈ Communicate Findings: Translate complex statistical outputs and model results into clear, actionable business insights.

βœ… Requirements & Skills

  • πŸ’– Passionate about machine learning and eager to learn (no specific degree required).
  • 🐍 Solid grasp of Python or R, including standard data libraries (such as Pandas, NumPy, or Scikit-learn).
  • πŸ“Š Familiar with foundational statistics, probability, and basic predictive modeling.
  • ✨ Bonus points: If you have touched deep learning, NLP, SQL, or have built an end-to-end project before.
  • πŸ€” Curious, driven, and comfortable asking questions.

🎁 Perks & Benefits

  • 🌐 Remote & Flexible: Contribute from anywhere, on a schedule that works for you.
  • πŸ“ˆ Real Portfolio Projects: Leave with end-to-end data science projects to show future employers, stepping beyond clean textbook datasets.
  • πŸ§‘β€πŸ« Direct Mentorship: Get honest feedback and guidance from our core team.
  • πŸ“œ Proof of Impact: A certificate of completion and a strong letter of recommendation for active contributors.

⏳ Duration: Up to 6 months

πŸ“ Location: Remote

πŸ“© How to Apply

Fill the form and join our WhatsApp community for the joining process.

How to apply

Applications are handled on in.linkedin.com, not here. The link below opens the original posting.

View the original posting

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