Data Science Intern

Jobs4PanIndia

IndiaFresher2h agovia LinkedIn

About the Opportunity

Jobs4PanIndia is offering a Data Science Internship Program for individuals interested in practical experience in data analysis, statistical modeling, machine learning, predictive analytics, and data-driven problem-solving. This remote, 3-month, paid internship is open to applicants across India. No prior professional experience is required; your analytical skills, interest in working with data, and willingness to learn are paramount.

Key Responsibilities

  • Collect, clean, process, and analyze structured and unstructured datasets.
  • Perform Exploratory Data Analysis (EDA) to identify patterns, trends, and relationships.
  • Work with Python and data science libraries such as Pandas, NumPy, and Scikit-learn.
  • Assist in building, training, testing, and evaluating machine learning models.
  • Apply statistical methods and predictive analytics to practical problems.
  • Create charts, visualizations, and reports to communicate insights.
  • Assist with feature engineering, data preparation, and model performance evaluation.
  • Collaborate remotely on assigned data science projects and analytical tasks.

Who Can Apply?

  • College students from any academic background.
  • Freshers and recent graduates interested in Data Science.
  • Working professionals looking to expand their analytical and technical skills.
  • Career switchers exploring opportunities in Data Science and Machine Learning.
  • Self-taught learners and individuals interested in data-driven technologies.
  • Candidates with foundational programming or data analysis knowledge.

Applicants from all educational backgrounds are welcome.

Requirements & Tech Stack

  • Basic understanding of Python, data analysis, or related concepts.
  • Familiarity with mathematics, statistics, or logical problem-solving.
  • Interest in machine learning, predictive analytics, and data interpretation.
  • Strong analytical thinking and attention to detail.
  • Willingness to learn new technologies and work on practical projects.
  • Ability to work independently and complete assigned tasks remotely.

Knowledge of SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Power BI, Tableau, TensorFlow, or other data science tools is an advantage, not mandatory.

Stipend

  • Performance-based stipend of up to ₹10,000.

Subject to applicable eligibility and evaluation criteria.

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