Want to get hired at UM IT PRIVATE LIMITED?
Data Science Intern
UM IT PRIVATE LIMITED
HybridHybrid
Original Job Summary
About Data Science Intern
WebBoost Solutions by UM, powered by UM IT PRIVATE LIMITED, offers a remote 3-month paid internship that provides hands-on data science experience. This role is full-time based on performance and comes with a Certificate of Internship.
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 for effective communication.
- Collaborate with cross-functional teams to deliver data-driven solutions.
Requirements
- Enrollment in or graduation from a relevant field (Data Science, Computer Science, Statistics, etc.).
- Proficiency in Python for data analysis and modeling.
- Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Familiarity with data visualization tools like 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 & Letter of Recommendation
- Opportunity to build a strong portfolio of data science work
- 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." The application deadline is 13th 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 preprocessing, predictive modeling, machine learning, EDA, Python, scikit-learn, TensorFlow, data visualization, dashboard, teamwork
How to Get Hired at UM IT PRIVATE LIMITED
🎯 Tips for Getting Hired
- Research UM IT PRIVATE LIMITED's culture: Study their mission, values, and recent projects.
- Customize your resume: Highlight relevant data science coursework and projects.
- Showcase technical skills: Emphasize Python, ML libraries, and visualization tools.
- Prepare for behavioral interviews: Practice teamwork and problem-solving examples.
📝 Interview Preparation Advice
Technical Preparation
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Review Python libraries.
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Practice machine learning algorithms.
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Explore data visualization tools.
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Study EDA methods.
Behavioral Questions
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Prepare teamwork examples.
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Practice problem-solving stories.
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Highlight clear communication.
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Discuss collaborative projects.