
Data Science Intern
1 week ago
- 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, ₹25,545.78 per month
Benefits:
- Food provided
Work Location: In person
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