Data Science Intern
MediNex Workforce
IndiaFresher1h agovia LinkedIn
Posted 14 Nov 2026, 21:41 IST
This job at a glance
- Who can apply
- Freshers and up to 1 year · B.Tech / B.E., BCA, MCA or B.Sc
- Must know
- StatisticsMachine learningData analysisPython
- Nice to have
- PandasNumPyData visualization
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis88%Statistics57%Python54%Machine learning1%of 107 similar fresher jobs posted in India this week
- Listed
- 14 Nov 2026 · still open
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Company: MediNex Workforce
Location: India
Workplace Type: Remote
Employment Type: Full-time internship
Duration: 1 to 3 months
Stipend: Up to INR 14,000 per month
About the Role
MediNex Workforce is looking for curious and analytical Data Science Interns who are interested in working with data, discovering patterns, and exploring how statistical methods and programming can solve real-world problems. Interns will gain practical exposure to data preprocessing, exploratory data analysis, statistical techniques, and introductory machine learning concepts while working on data-driven assignments.
Key Responsibilities
- Collect, clean, and preprocess structured datasets for analysis.
- Use Python libraries such as Pandas and NumPy for data manipulation.
- Perform exploratory data analysis to identify trends and patterns.
- Apply basic statistical techniques to interpret datasets.
- Create charts and visualisations using Matplotlib and Seaborn.
- Assist in developing and evaluating basic machine learning models.
- Work with datasets to identify relationships and meaningful insights.
- Prepare analytical reports and document findings.
- Collaborate with team members on data science projects and research tasks.
Requirements
- Students and recent graduates from B.Tech, BCA, B.Sc, B.Stat, MCA, or related fields.
- Candidates with basic knowledge of Python programming.
- Individuals interested in statistics, data analysis, and machine learning.
- Candidates with an understanding of mathematics and analytical concepts.
- Basic familiarity with Pandas, NumPy, or data visualisation tools is an added advantage.
Key Skills
- Data Science
- Python Programming
- Pandas
- NumPy
- Statistics
- Exploratory Data Analysis (EDA)
- Data Preprocessing
- Data Cleaning
- Machine Learning Fundamentals
- Matplotlib
- Seaborn
- Data Visualization
- Statistical Analysis
- Jupyter Notebook
- Analytical Thinking
- Problem Solving
What You’ll Gain
- Hands-on experience with Python-based data science tools.
- Practical exposure to data cleaning and exploratory analysis.
- Understanding of statistical methods and data interpretation.
- Experience creating data visualisations and analytical reports.
- Introduction to machine learning workflows and model evaluation.
- Professional guidance and internship completion certificate.