Job Description

A data science intern assists with various aspects of the data science pipeline, including data collection, cleaning, analysis, and visualization to extract insights and support data-driven decisions. They typically use programming languages like Python or R and tools such as SQL and Tableau to work with large datasets, build predictive models under supervision, and create reports and visualizations to communicate findings to their team. Key Responsibilities Data Collection and Preparation: Gathering data from various sources and performing data wrangling (cleaning and preprocessing) to make it suitable for analysis. Data Analysis: Conducting exploratory data analysis (EDA) to identify patterns, trends, and anomalies within the data. Machine Learning: Supporting the development and training of basic machine learning models and experiments under the guidance of experienced data scientists. Data Visualization: Creating charts, graphs, and dashboards to effectively communicate complex data insights to stakeholders. Reporting and Communication: Preparing reports and presenting findings to the team, often in collaboration with cross-functional teams such as engineers and product managers. Project Participation: Contributing to real-world projects, from concept to implementation, helping the team achieve its goals. Skills Developed During an Internship Technical Skills: Mastering tools and languages such as Python, R, SQL, and visualization software like Tableau. Analytical Skills: Developing the ability to interpret data, apply statistical methods, and derive meaningful conclusions. Communication Skills: Improving the ability to articulate complex data findings in a clear and concise manner through reports and presentations. Domain Knowledge: Gaining exposure to how data science principles are applied to solve real-world problems in a specific industry. Tamil candidates only
Job Type: Full-time

Pay: ₹8,086.00 - ₹25,545.78 per month

Benefits:

Food provided
Work Location: In person