Time since we first saw it
Day 154
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Data Science Intern
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Listed location: Remote
Read the full posting- Employment
Internship — employment source
Employment type in the employer’s posting: INTERN
From the employer’s posting
Before you apply
- New graduates
- For current students
Currently pursuing a Bachelor's or Masterâs degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
What you’ll work on
Full postingCollect, clean, and preprocess data from various sources
Perform exploratory data analysis to find trends and anomalies
Develop and implement machine learning models and algorithms
Create data visualizations and reports for stakeholders
Document and present results and recommendations
From the employer’s posting
Assist in collecting, cleaning, and preprocessing data from various sources
Perform exploratory data analysis to identify trends, patterns, and anomalies
Develop and implement machine learning models and algorithms
Create data visualizations and reports to communicate findings to stakeholders
Contribute to the documentation and presentation of results, findings, and recommendations
What you’ll bring
All qualificationsCore experience
- Proficiency in Python, R, or SQL
- Strong foundation in statistics, probability, and data analysis
- Fresh graduates and recent pass-outs can apply
Qualification wording
Proficiency in programming languages such as Python, R, or SQL
Strong foundation in statistics, probability, and data analysis techniques
Any Graduate / PassOuts / Freasher can apply
Education & alternatives
Requirements: Any Graduate / PassOuts / Freasher can apply. Currently pursuing a Bachelor's or Masterâs degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proficiency in programming languages such as Python, R, or SQL. Strong foundation in statistics, probability, and data analysis techniques. Benefits
Benefits in the posting
Full benefits wording- Internship Certificate Letter of recommendation Stipend Performance Based Part time work from home (2-3 Hrs per day) 5 days a week, Fully Flexible Shift
- Â
From the employer’s posting.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026154 days ago
- Recorded sightings
- 68
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Aug 25, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Corporate Web Solutions is hiring
1 open job
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
Where the posting names them
Requirements: Any Graduate / PassOuts / Freasher can apply. Currently pursuing a Bachelor's or Masterâs degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proficiency in programming languages such as Python, R, or SQL. Strong foundation in statistics, probability, and data analysis techniques. Benefits
Your next step
Complete your application on careerspage.io. The employer’s form will show what is required.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Description:
As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies.
Responsibilities:
Assist in collecting, cleaning, and preprocessing data from various sources.
Perform exploratory data analysis to identify trends, patterns, and anomalies.
Develop and implement machine learning models and algorithms.
Create data visualizations and reports to communicate findings to stakeholders.
Collaborate with team members on data-driven projects and research.
Participate in meetings and contribute to discussions on project progress and strategy.
Work with large datasets to clean, preprocess, and analyze data.
Build and deploy statistical and machine learning models to generate actionable insights.
Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
Assist in the creation of data visualizations and dashboards for reporting insights.
Support the development and improvement of data pipelines and algorithms.
Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions.
Contribute to the documentation and presentation of results, findings, and recommendations.
Participate in team meetings, brainstorming sessions, and project discussions.
Duration: 2 Months (with the possibility of extending up to 6 months)
MODE: Work From Home (Online)
Requirements:
Any Graduate / PassOuts / Freasher can apply.
Currently pursuing a Bachelor's or Masterâs degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
Proficiency in programming languages such as Python, R, or SQL.
Strong foundation in statistics, probability, and data analysis techniques.
Benefits
Internship Certificate
Letter of recommendation
Stipend Performance Based
Part time work from home (2-3 Hrs per day)
5 days a week, Fully Flexible Shift
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Kindly click here for detailed information and complete the form : https://corporatewebsolutions.in/data-science-internship-for-students/
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- Location & working pattern
Remote
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