Data Science | Entry Level | Fresher Internship (Python, Statistics, Machine Learning Basics)

Medi Nex Workforce; India; Remote; INR 152,000 - 182,000; Full time

Benefits offered by this job

Remote work

Job summary

Medinex Workforce offers a data science internship for entry-level candidates who want hands-on experience with real recruitment datasets, Python, and basic ML concepts.

You will clean data with Python, explore patterns, build simple models, and present findings to non-technical teammates. This remote full-time internship lasts 1 to 3 months, with a stipend up to INR 15,000 per month, open to final-year students and fresh graduates across India.

Qualifications

• Strong Python knowledge and data manipulation skills.
• Understanding of basic statistics (mean, variance).
• Experience with data visualization in Python (Matplotlib/Seaborn) or Power BI.

Responsibilities

• Clean and prepare recruitment datasets using Python, Pandas and NumPy.
• Explore data to identify patterns and relationships.
• Apply basic statistical methods such as correlation and regression.
• Build simple predictive models and evaluate performance.
• Document notebooks and present findings clearly to non-technical stakeholders.

Skills

Python

Pandas

NumPy

Data analysis

Matplotlib/Seaborn

English writing

Education

Final-year STEM/Analytics student

Tools

Power BI

Matplotlib

Seaborn

Job description

Job Title: Data Science | Entry Level | Fresher Internship (Python, Statistics, Machine Learning Basics)

Company: Medinex Workforce

Location: India

Workplace Type: Remote

Employment Type: Full-time internship

Duration: 1 to 3 months

Stipend: Up to INR 15,000 per month

About the internship

Medinex Workforce has years of hiring history: which sourcing channels brought strong candidates, how long each type of role took to fill, where applicants dropped out, and which clients renewed. That history holds answers, but only if someone explores it carefully and tests ideas against it. This internship puts you in that role. You will work on real business questions, learn how data scientists choose the right method, and practise explaining results to people who are not technical.

What you will do

• Clean and prepare recruitment datasets using Python, Pandas and NumPy
• Explore data to find patterns, outliers and relationships
• Apply statistical methods such as correlation, hypothesis testing and regression
• Build simple predictive models, for example to estimate how long a role may take to fill
• Check model performance with the right metrics and note its limits honestly
• Create clear charts using Matplotlib, Seaborn or Power BI
• Write short findings that non-technical team members can act on
• Document your notebooks so others can repeat your work

What we are looking for

• Good working knowledge of Python, especially Pandas and NumPy
• Understanding of basic statistics (mean, variance, distributions, probability)
• Familiarity with Matplotlib, Seaborn or a similar visualisation library
• Comfort with open-ended problems and checking whether an idea holds up
• Clear written English for explaining results
• A laptop and stable internet connection for full-time remote work

Nice to have

• Basic SQL
• Exposure to Scikit-learn
• A Kaggle notebook, GitHub project or certificate

Who can apply

• Final-year students and recent graduates from B.Tech, B.E., BCA, B.Sc (Statistics, Maths, CS, IT), MCA, M.Sc, MBA (Analytics) or related streams
• Self-taught learners who can show a project or certificate
• Freshers are welcome, and prior experience is not required
• You must be available full-time for the internship period

What you will gain

• Work on real datasets and business questions
• Regular guidance and feedback from experienced team members
• Notebooks and case studies you can show in future interviews
• The freedom to work from your own city anywhere in India

Full-time, Monday to Saturday or as assigned by your reporting manager, with daily check-ins and a weekly review.

Medinex Workforce is an equal opportunity employer. We welcome applicants of every gender, background and community.