Job Description

A data science intern assists experienced data scientists by performing tasks like data cleaning and preprocessing, exploratory data analysis, and creating visualizations to extract insights. They also help build and test basic machine learning models, use statistical tools, and learn to use data science software like Python and R. Internships focus on providing hands-on experience with real-world data, from collection to communicating findings to a team. Core responsibilities Data collection and cleaning: Gathering raw data and preparing it for analysis by handling missing values and inconsistencies. Exploratory Data Analysis (EDA): Using statistical methods and visualizations to find patterns, correlations, and trends in the data. Machine learning: Assisting with building, testing, and evaluating machine learning models under the guidance of senior data scientists. Data visualization: Creating charts, dashboards, and reports to present findings in a clear and compelling way. Skills and tools Programming and tools: Learning and using programming languages like Python or R, as well as tools like SQL, Tableau, and Hadoop. Statistical analysis: Applying basic statistical techniques to analyze data and draw conclusions. Communication: Learning to communicate technical findings to a non-technical audience and working with team members to present results. The internship experience Real-world projects: Gaining practical experience by working on real datasets and projects that have business value.
*

Full project lifecycle: Getting exposure to the entire data science workflow, from data collection to delivering final insights. Skill development: Building a strong foundation in data science, with the potential for the internship to lead to a full-time role. Mentorship: Working under the guidance of experienced professionals who provide support and opportunities for experimentation and learning. Tamil candidates only
Job Type: Full-time

Pay: ?8,086.00 - ?25,545.78 per month

Benefits:

Food provided
Work Location: In person