Data Science Intern

Role Overview

Data Science Intern (Remote – US Time Zone) joining a solutions-driven data science team to apply data science to real-world business problems.

Responsibilities

• Design and implement data-driven solutions to address business needs
• Work with structured and unstructured datasets (data cleaning, preprocessing, and analysis)
• Build and evaluate machine learning models with guidance from senior data scientists
• Perform exploratory data analysis (EDA) and present actionable insights
• Collaborate with cross-functional teams (engineering, product, and business stakeholders)
• Contribute to data pipelines, dashboards, and reporting tools
• Document workflows, methodologies, and findings clearly

Required Qualifications

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Strong foundation in Python with Pandas, NumPy, and Scikit-learn
• Understanding of machine learning concepts (regression, classification, clustering)
• Data visualization experience with Matplotlib, Seaborn, or similar
• Familiarity with SQL and working with databases
• Strong analytical and problem-solving skills
• Ability to work remotely with overlapping hours in the US time zone

Preferred Qualifications

• Exposure to deep learning frameworks (TensorFlow, PyTorch)
• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of applied domains (e.g., recommendation systems, NLP, forecasting)
• Prior internship or project experience in data science/analytics
• Familiarity with version control (Git)

Internship Details

• Remote (must overlap with US hours)
• Duration: 3–6 months, with potential extension based on performance
• Compensation: competitive stipend (based on experience and client budget)