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