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Location
United States
Salary
Salary not Provided
Post Date
May 11th, 2026
Archived
May 26th, 2026

Internship Description

Job Title: Data Science Intern (Remote – US Time Zone)

About the Role
We are hiring on behalf of our client for a highly motivated Data Science Intern to join a dynamic, solutions-driven data science team. This role is ideal for candidates who are passionate about applying data science to real-world business problems and can work effectively in a remote, collaborative environment aligned with US time zones.

Key Responsibilities
• Assist in designing and implementing data-driven solutions to solve business problems
• Work with structured and unstructured datasets to perform data cleaning, preprocessing, and analysis
• Build and evaluate machine learning models under guidance from senior data scientists
• Conduct exploratory data analysis (EDA) and present actionable insights
• Collaborate with cross-functional teams including 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 related field
• Strong foundation in Python (Pandas, NumPy, Scikit-learn)
• Understanding of machine learning concepts (regression, classification, clustering)
• Experience with data visualization tools (Matplotlib, Seaborn, or similar)
• Familiarity with SQL and working with databases
• Strong analytical thinking and problem-solving skills
• Ability to work remotely in US/EU time zones

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

Key Skills
• Data Analysis & Interpretation
• Machine Learning Fundamentals
• Problem-Solving & Critical Thinking
• Communication & Storytelling with Data
• Collaboration in Remote Teams

What We’re Looking For
• A solutions-oriented mindset—someone who doesn’t just analyze data but translates it into impact
• Curiosity and willingness to learn in a fast-paced environment
• Strong ownership and accountability for assigned tasks

Location
• Remote (Must be available to work in US overlapping hours)

Duration
• Internship (typically 3–6 months, with potential extension based on performance)

Compensation
• Competitive stipend (based on experience and client budget)