Data Science Intern
@ WEBBOOST SOLUTION IT SERVICES

Hybrid
₹15,000
Hybrid
Intern
Posted 16 hours ago

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XXXXXXXX XXXXXXXXX XXXXXXX***** @webboostsolutions.com
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Job Details

About Data Science Intern

WebBoost Solutions by UM offers a paid Data Science Intern position. This remote internship lasts 3 months and is full-time based on performance. Successful interns will receive a Certificate of Internship and potential full-time employment.

Responsibilities

  • Collect, preprocess, and analyze large datasets.
  • Develop predictive models and machine learning algorithms.
  • Perform exploratory data analysis (EDA) to extract insights.
  • Create data visualizations and dashboards.
  • Collaborate with cross-functional teams on data-driven solutions.

Requirements

  • Enrolled in or graduated from a related field (Data Science, Computer Science, Statistics).
  • Proficiency in Python for data analysis and modeling.
  • Familiarity with machine learning libraries (scikit-learn, TensorFlow, or PyTorch).
  • Knowledge of data visualization tools (Tableau, Power BI, or Matplotlib).
  • Strong analytical, problem-solving, communication, and teamwork skills.

Stipend & Benefits

  • Stipend: ₹7,500 - ₹15,000 (performance-based).
  • Hands-on experience in data science projects.
  • Certificate of Internship and Letter of Recommendation.
  • Portfolio building through real-world projects.
  • Potential for full-time employment based on performance.

How to Apply

Submit your resume and a cover letter with the subject line "Data Science Intern Application." Deadline: 10th October 2025.

Equal Opportunity

WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment.

Key skills/competency

  • Data Analysis
  • Machine Learning
  • Python
  • EDA
  • Data Visualization
  • Predictive Modeling
  • Statistical Analysis
  • Team Collaboration
  • Problem Solving
  • Dashboarding
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How to Get Hired at WEBBOOST SOLUTION IT SERVICES

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data science projects and skills.
  • Tailor your cover letter: Mention relevant internship experience.
  • Research WebBoost Solutions by UM: Understand their projects and culture.
  • Prepare technical examples: Showcase your Python and machine learning work.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding fundamentals.
Practice machine learning algorithm implementations.
Study EDA and data visualization techniques.
Work on sample predictive modeling projects.

Behavioral Questions

Describe a challenging team project.
Explain how you solve complex problems.
Share your experiences with feedback.
Discuss time management in projects.

Frequently Asked Questions