Softius System is offering an exciting, fully remote internship opportunity for passionate students looking to launch a career in data science. The company is hiring a Data Science Intern for a 2-month term, offering hands-on experience in machine learning, data processing, and predictive analytics.
Candidates proficient in Python or R and experienced with SQL are strongly encouraged to apply before the November 18, 2025 deadline.
Internship Overview & Key Details
Detail | Information |
|---|---|
Organization | Softius System |
Position | Data Science Intern |
Location | Work From Home (Remote) |
Duration | 2 Months |
Stipend | ₹7,000 per month |
Application Deadline | 18 November 2025 |
Working Days | 5 Days a Week (Full Time) |
Core Responsibilities
The intern will work directly on real-world datasets, assisting the team with the full lifecycle of data projects:
Data Handling: Gather, clean, and preprocess structured and unstructured data from various sources (databases, APIs, spreadsheets, etc.).
Analysis & Modeling:
Perform Exploratory Data Analysis (EDA) and statistical analysis to uncover actionable insights, trends, and patterns.
Assist in building, testing, and optimizing machine learning models for predictive analytics.
Reporting: Create professional dashboards, charts, and reports using visualization tools like Tableau, Power BI, Matplotlib, or Seaborn.
Collaboration & Documentation: Work with cross-functional teams (engineers and product managers) and document data processing workflows and methodologies for future reference.
Eligibility and Requirements
This role is ideal for candidates with a strong foundational knowledge of programming and statistics:
Education: Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Mandatory Skills:
Proficiency in Python or R for data analysis.
Familiarity with data manipulation libraries (Pandas, NumPy).
Experience with SQL for querying databases.
Basic knowledge of machine learning frameworks (e.g., scikit-learn).
Soft Skills: Strong analytical skills, excellent communication, and enthusiasm to learn and apply new technologies.
How to Apply
The application deadline is November 18, 2025. Given the competitive nature and the remote opportunity, early application is highly recommended. Interested candidates should apply through the company's designated job portal.
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