Data Science Intern

0 years

0 Lacs

Posted:13 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Company: Innovate Solutions

Location: Remote

Duration: 1–3 Months

Stipend: ₹15,000 (Fixed)

Perks: Certificate | Letter of Recommendation | Hands-on Training


About Innovate Solutions

Innovate Solutions offers data-centric internships designed to build practical skills in analytics, machine learning, and statistical modeling. The Data Science Internship provides hands-on experience with real-world datasets, enabling interns to explore data-driven solutions for business and technical challenges.


Role Overview

As a Data Science Intern, you’ll work on collecting, cleaning, and analyzing data to uncover patterns and generate insights. You’ll build predictive models, perform statistical analysis, and contribute to decision-support tools using Python and other data science frameworks.


Key Responsibilities

• Preprocess and analyze structured and unstructured datasets

• Apply statistical techniques and machine learning algorithms to solve problems

• Build and evaluate predictive models using Python libraries such as scikit-learn, pandas, and NumPy

• Create visualizations and dashboards using tools like matplotlib, seaborn, or Power BI

• Document findings and present insights to technical and non-technical stakeholders

• Collaborate with cross-functional teams on live data science projects


Requirements

• Pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or related field

• Proficiency in Python and relevant data science libraries

• Familiarity with SQL and data visualization tools

• Strong analytical and problem-solving skills

• Understanding of machine learning fundamentals and statistical concepts

• Ability to work independently and meet deadlines


What You’ll Gain

• Hands-on experience with end-to-end data science workflows

• Internship Completion Certificate

• Letter of Recommendation for top performers

• Exposure to real-world datasets and modeling techniques

• A portfolio of data science projects and documented experiments

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