Data Scientist Internship

Role Overview

We are seeking a curious and analytical Data Scientist Intern to support data-driven decision-making across business and technology teams. This internship offers hands-on experience working with real-world datasets, building analytical models, and translating data insights into actionable outcomes.

This role is ideal for students or recent graduates looking to build a strong foundation in data science, analytics, and applied machine learning.

Internship Details

Duration

3 months, with potential extension based on performance

Work Mode

Remote

Stipend: Unpaid initially; performance-based evaluation in the first quarter may lead to a paid internship extension or full-time opportunity

Working Hours

8 hours per day

Key Responsibilities

Collect, clean, and preprocess structured and unstructured data

Perform exploratory data analysis (EDA) to identify trends and patterns

Assist in building and validating statistical and machine learning models

Create data visualizations and dashboards to communicate insights

Support data-driven decision-making through reports and presentations

Collaborate with engineering, product, and business teams

Document methodologies, findings, and outcomes

Required Skills & Qualifications

Currently pursuing or recently completed a degree in

Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field

Strong understanding of statistics and data analysis fundamentals

Proficiency in Python

Experience with libraries such as Pandas, NumPy, Matplotlib, Seaborn

Basic knowledge of SQL

Strong analytical and problem-solving skills

Preferred / Technical Skills

Familiarity with machine learning algorithms and workflows

Exposure to Scikit-learn, TensorFlow, or PyTorch

Experience with data visualization tools (Tableau, Power BI, or similar)

Knowledge of version control systems (Git)

Understanding of data pipelines and ETL concepts

What You Will Gain

Hands-on experience with real-world datasets and business problems

Practical exposure to data science and analytics workflows

Mentorship from experienced data scientists and engineers

Experience collaborating with cross-functional teams

Certificate of Internship Completion upon successful completion

Opportunity for paid or full-time conversion based on performance

Originally posted on Himalayas