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You will be updated with latest job alerts via emailJob Description:
As a Data Science Intern you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis predictive modeling and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical fastpaced environment contribute to key datadriven projects and gain valuable experience with industryleading tools and technologies.
Responsibilities:
Assist in collecting cleaning and preprocessing data from various sources.
Perform exploratory data analysis to identify trends patterns and anomalies.
Develop and implement machine learning models and algorithms.
Create data visualizations and reports to communicate findings to stakeholders.
Collaborate with team members on datadriven projects and research.
Participate in meetings and contribute to discussions on project progress and strategy.
Work with large datasets to clean preprocess and analyze data.
Build and deploy statistical and machine learning models to generate actionable insights.
Conduct exploratory data analysis (EDA) to uncover trends patterns and correlations.
Assist in the creation of data visualizations and dashboards for reporting insights.
Support the development and improvement of data pipelines and algorithms.
Collaborate with crossfunctional teams to understand data needs and translate them into actionable analytics solutions.
Contribute to the documentation and presentation of results findings and recommendations.
Participate in team meetings brainstorming sessions and project discussions.
Requirements:
Any Graduate / Freshers / Pass Outs can apply.
Currently pursuing a Bachelors or Masters degree in Data Science Computer Science Mathematics Statistics or a related field.
Proficiency in programming languages such as Python R or SQL.
Strong foundation in statistics probability and data analysis techniques.
Benefits:
Internship Certificate
Letter of recommendation
Stipend Performance Based
Part time work from home (23 Hrs per day)
5 days a week Fully Flexible Shift
Full Time