Internship Catalogue

Data Science Intern
Dee and Lee services (india) private limited

Title

Data Science Intern

Description

Key Responsibilities:

  - Gather data from various sources.

  - Cleanse and preprocess data to ensure accuracy, completeness, and consistency.

  - Design and implement machine learning algorithms and models.

  - Train and validate models using different datasets.

  - Conduct experiments to evaluate model performance and optimize parameters.

  - Implement various algorithms and assess their effectiveness for different use cases.

  - Stay updated with the latest AI/ML research and industry trends.

  - Analyze datasets to extract actionable insights, identify trends, patterns, and correlations.

  - Apply statistical methods and techniques to interpret data and validate hypotheses.

  - Using data visualization tools to present findings in an understandable way.

  - Create clear and concise visualizations, such as charts, graphs, and dashboards, to communicate findings effectively.

  - Help in deploying machine learning models into production environments.

  - Monitor the performance of deployed models and assist in troubleshooting any issues.

  - Develop and maintain documentation for models and processes.

  - interact with cross-functional teams and business stakeholders, to understand data requirements and deliver insights.

  - Present findings and insights to stakeholders in a clear and concise manner.

  - Contribute to team meetings and share progress updates regularly.



No. of Openings : 1

Nature of Post : Full Time

Date of posting : 4th Feb 2025

Date of commencement : 1st Mar 2025

Additional Perks

NA

Qualification

Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

CTC Range (Per Anum)

Not Paid

About the company

Dee and Lee services (india) private limited

Internship Learning Outcomes

- Gain hands-on experience with real-world AI/ML projects. - Work in a collaborative and innovative environment. - Get a Real world view of an IT company - Exposure to all levels of stakeholders including senior stakeholders.