We are looking for a highly motivated Data Science Development Intern to join our dynamic team. This internship offers hands-on experience in data collection, analysis, and machine learning model development. The ideal candidate will assist with data cleaning, visualization, and creating solutions to complex data problems. If you're passionate about data science and eager to learn in a collaborative environment, apply now to kickstart your career.

Responsibilities

Assist in gathering data from multiple sources, ensuring its accuracy and completeness.
Perform exploratory data analysis (EDA) to understand data patterns, trends, and insights.
Help in designing, building, and testing machine learning models to solve business problems.
Create visual representations of data findings to communicate results clearly to stakeholders.
Document processes, workflows, and methodologies used during the analysis.
Work closely with senior data scientists, engineers, and other stakeholders to understand project requirements and contribute to the development process.
Assist in developing tools and algorithms for automating data processing and analysis.

Requirements

Pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
Basic understanding of machine learning algorithms and data science principles.
Familiarity with data manipulation tools like pandas, numpy, and data visualization libraries like matplotlib, seaborn, or similar.
Proficiency in Python or R for data analysis and model building.
Understanding of SQL for database querying.
Ability to approach and solve data-related problems logically.
Accuracy in data collection, cleaning, and analysis.

Skills

Ability to interpret and analyze complex data to extract valuable insights.
Understanding of various machine learning algorithms (e.g., regression, classification, clustering).
Ability to clean and prepare raw data for analysis and modeling.
Strong communication skills to present complex data insights to non-technical stakeholders.
Teamwork and the ability to work in a collaborative environment.
Aptitude for troubleshooting issues and finding optimal solutions in the data science process.
Basic knowledge of Git or other version control systems for code management.

Who Can Apply for Data Science Development Internship?

Individuals with relevant skills and a keen interest to learn.
Those available for either a 6 Month or 12 Months internship period.
Graduates or students from any year of study.
Both male and female candidates are looking to start or restart their careers.

Guidelines for Data Science Development Internship

The internship will be conducted digitally via Skype.
Internship will be practical based.
You will be assigned a project and you have to complete it within a set of timeline.
Applicants must have their own laptop/desktop and a high-speed internet connection.

Schedule

Day shift
Fixed shift
Morning shift

Internship Types

Full-time
Permanent
Fresher
Restart Careers

What will you get?

Upon successful completion of the project, you will receive a 6 Months / 12 Month Experience Certificate based on your internship.

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Written by Arni Sun

Internship Opportunity

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