Data Science Internship

Job Description

Responsibilities of the Intern:

• Data Collection & Preprocessing: Gather, clean, and preprocess structured and unstructured data from various sources (databases, APIs, spreadsheets, etc.).
• Exploratory Data Analysis (EDA): Perform statistical analysis and visualization to uncover trends, patterns, and insights.
• Machine Learning & Modeling: Assist in building, testing, and optimizing machine learning models for predictive analytics.
• Data Visualization & Reporting: Create dashboards, charts, and reports using visualization tools like Tableau, Power BI, Matplotlib, or Seaborn.
• Collaboration: Work with cross-functional teams, including software engineers and product managers, to support data-driven projects.
• Documentation & Research: Document data processing workflows, methodologies, and key findings for future reference.
• Continuous Learning: Stay updated with industry trends, tools, and techniques to enhance analytical skills.

Requirements:

• Proficiency in Python or R for data analysis and machine learning.
• Familiarity with data manipulation libraries (Pandas, NumPy, SciPy, etc.).
• Basic knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch, etc.).
• Experience with SQL for querying databases and extracting data.
• Strong analytical skills with an understanding of statistics and probability.
• Ability to create data visualizations and interpret insights effectively.
• Strong communication and problem-solving skills.
• Enthusiasm to learn and apply new technologies in a fast-paced environment.

If an employer asks you to pay any kind of fee, please notify us immediately. Unstop does not charge any fee from the applicants and we do not allow other companies also to do so.