Data Scientist Intern

InternHunt; New Delhi; On-site; INR 89,000 - 134,000; Full time

Job summary

InternHunt in Delhi is offering a Data Scientist Intern position for hands-on experience with real-world datasets, ML models, and AI techniques. You will preprocess data, conduct EDA, build and evaluate models, and communicate findings through visualizations and reports.

The role emphasizes learning, working on real projects, mentorship from the team, and a chance to build a data science portfolio. Applicants should be onsite in Sector 7, Dwarka and commit to a 6-month internship.

Qualifications

• Pursuing or recently completed a degree in Data Science, CS, Stats, Math, or Eng.
• Basic knowledge of Python and libraries like Pandas, NumPy, Matplotlib/Seaborn.
• Understanding of statistics and probability.
• Familiarity with SQL is a plus.
• Understanding of machine learning concepts and algorithms.
• Familiarity with Scikit-learn is an advantage.
• Strong analytical and problem-solving skills.
• Willingness to learn and work on real-world projects.
• Ability to work onsite from Sector 7, Dwarka.
• Candidates who can commit to the complete 6-month internship will be preferred.

Responsibilities

• Collect, clean, and preprocess data from different sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Assist in developing and evaluating machine learning models.
• Work with structured and unstructured datasets.
• Create data visualizations and reports to communicate insights.
• Assist in feature engineering, model testing, and optimization.
• Perform statistical analysis and interpret results.
• Work with the team to identify data-driven solutions to business problems.
• Research and experiment with new machine learning and AI techniques.
• Document analysis, models, and project findings.

Skills

Python

Analytical thinking

Willingness to learn

Education

Data Science

Computer Science

Statistics

Mathematics

Engineering

Tools

Pandas

NumPy

Matplotlib/Seaborn

Scikit-learn

Job description

We are looking for a motivated and analytical Data Scientist Intern who is interested in working with data, machine learning, and AI. The intern will get hands‑on experience working on real‑world datasets and assisting with data-driven projects.

Key Responsibilities

• Collect, clean, and preprocess data from different sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Assist in developing and evaluating machine learning models.
• Work with structured and unstructured datasets.
• Create data visualizations and reports to communicate insights.
• Assist in feature engineering, model testing, and optimization.
• Perform statistical analysis and interpret results.
• Work with the team to identify data-driven solutions to business problems.
• Research and experiment with new machine learning and AI techniques.
• Document analysis, models, and project findings.

Requirements

• Pursuing or recently completed a degree/diploma in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Basic knowledge of Python and libraries such as Pandas, NumPy, and Matplotlib/Seaborn.
• Understanding of basic statistics and probability.
• Familiarity with SQL is a plus.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with Scikit-learn is an advantage.
• Strong analytical and problem-solving skills.
• Willingness to learn and work on real-world projects.
• Ability to work onsite from Sector 7, Dwarka.
• Candidates who can commit to the complete 6-month internship will be preferred.

Good to Have

• Knowledge of Deep Learning, NLP, or Generative AI.
• Experience with Jupyter Notebook or Google Colab.
• Familiarity with Power BI, Tableau, or other data visualization tools.
• Academic, personal, or GitHub projects involving data science or machine learning.

What You Will Gain

• Hands‑on experience with real‑world data science projects.
• Practical exposure to Python, SQL, data analysis, and machine learning.
• Experience working with real datasets and business problems.
• Mentorship and guidance from the team.
• Opportunity to build a strong data science portfolio.
• Certificate and experience letter upon successful completion, subject to company policy.