Data Science Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹15,000
Hybrid
Intern
Posted 8 hours ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @umit.com
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Job Details

About Data Science Intern

WebBoost Solutions by UM offers an internship in data science, providing real-world projects to develop analytical and machine learning skills for a successful career.

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 for data-driven solutions.

Requirements

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

Stipend & Benefits

  • Performance-based stipend of ₹7,500 - ₹15,000.
  • Hands-on experience on data science projects.
  • Certificate of Internship and Letter of Recommendation.
  • 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: 14th October 2025.

Equal Opportunity

WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds.

Key skills/competency

  • Data Analysis
  • Machine Learning
  • Python
  • EDA
  • Data Visualization
  • Predictive Modeling
  • Communication
  • Teamwork
  • Problem-solving
  • Data Preprocessing
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How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Research UM IT PRIVATE LIMITED: Understand their internship culture and projects.
  • Customize Your Resume: Highlight data analysis and machine learning skills.
  • Include Relevant Projects: Showcase hands-on data science experience.
  • Prepare for Technical Questions: Focus on Python and ML libraries.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries.
Practice ML algorithm coding.
Study data visualization techniques.
Work with sample datasets.

Behavioral Questions

Discuss teamwork experiences.
Describe problem-solving methods.
Explain time management skills.
Share communication success stories.

Frequently Asked Questions