Education:
Senior year in Bachelors degree program or higher in Computer Science Information Technology Data Science or a related discipline.
Skills and Requirements
Basic understanding of programming concepts (Python JavaScript Java AI or similar)
Familiarity with data analysis tools or web technologies is a plus
Strong communication skills and attention to detail
Curiosity willingness to learn and a collaborative mindset
Job Summary
Were looking for a motivated Information Technology Intern whos eager to learn experiment and contribute to real projects. This internship is designed to provide a meaningful learning experience helping you understand both the technical depth and the professionalism required to succeed in modern IT environments. Youll gain exposure to the full Enterprise Application Lifecycle and work under the guidance of experienced IT professionals.
The role emphasizes hands-on learning across realworld Enterprise Networks Web Applications Artificial Intelligence Data Engineering and Business Intelligence. Youll also have the opportunity to share your own insights and recommendations bringing a fresh student perspective to improve processes and workflows.
Key Responsibilities
Documentation & Knowledge Management
Create update and organize technical documentation for systems processes and applications
Assist in building internal knowledge bases user guides and workflow diagrams
Translate technical concepts into clear userfriendly content
AI Data Science & Analytics
Support data collection cleaning and preprocessing activities
Explore datasets and contribute to dashboards visualizations and analytical insights
Assist in developing simple predictive models and data pipelines
Learn and apply tools such as Python SQL Excel or BI platforms
Assist in evaluating LLM models
Web Applications & Development
Contribute to frontend or backend development tasks under guidance
Help test debug and document web applications
Learn modern frameworks version control and deployment workflows
Participate in code reviews and collaborative development practices
Enterprise IT & CrossFunctional Collaboration
Work with crossfunctional teams to deploy and manage applications and services
Monitor and optimize infrastructure performance in realworld environments
Learn and apply security best practices and compliance considerations
Automate processes and tasks using scripting or workflow tools
Troubleshoot and resolve technical issues across multiple systems
Stay current with emerging technologies tools and industry best practices
Contribute to multiple concurrent projects and products in a dynamic setting
What Youll Learn
The technical and professional expectations of working in an IT organization
How enterprise systems are designed deployed and maintained
Practical data engineering and business intelligence workflows
Fundamentals of enterprisegrade web applications and network environments
Agile methodologies project management tools and crossteam collaboration
How to evaluate and improve processes from an enduser or teammember perspective
Required Experience:
Intern
Education:Senior year in Bachelors degree program or higher in Computer Science Information Technology Data Science or a related discipline.Skills and RequirementsBasic understanding of programming concepts (Python JavaScript Java AI or similar)Familiarity with data analysis tools or web technologie...
Education:
Senior year in Bachelors degree program or higher in Computer Science Information Technology Data Science or a related discipline.
Skills and Requirements
Basic understanding of programming concepts (Python JavaScript Java AI or similar)
Familiarity with data analysis tools or web technologies is a plus
Strong communication skills and attention to detail
Curiosity willingness to learn and a collaborative mindset
Job Summary
Were looking for a motivated Information Technology Intern whos eager to learn experiment and contribute to real projects. This internship is designed to provide a meaningful learning experience helping you understand both the technical depth and the professionalism required to succeed in modern IT environments. Youll gain exposure to the full Enterprise Application Lifecycle and work under the guidance of experienced IT professionals.
The role emphasizes hands-on learning across realworld Enterprise Networks Web Applications Artificial Intelligence Data Engineering and Business Intelligence. Youll also have the opportunity to share your own insights and recommendations bringing a fresh student perspective to improve processes and workflows.
Key Responsibilities
Documentation & Knowledge Management
Create update and organize technical documentation for systems processes and applications
Assist in building internal knowledge bases user guides and workflow diagrams
Translate technical concepts into clear userfriendly content
AI Data Science & Analytics
Support data collection cleaning and preprocessing activities
Explore datasets and contribute to dashboards visualizations and analytical insights
Assist in developing simple predictive models and data pipelines
Learn and apply tools such as Python SQL Excel or BI platforms
Assist in evaluating LLM models
Web Applications & Development
Contribute to frontend or backend development tasks under guidance
Help test debug and document web applications
Learn modern frameworks version control and deployment workflows
Participate in code reviews and collaborative development practices
Enterprise IT & CrossFunctional Collaboration
Work with crossfunctional teams to deploy and manage applications and services
Monitor and optimize infrastructure performance in realworld environments
Learn and apply security best practices and compliance considerations
Automate processes and tasks using scripting or workflow tools
Troubleshoot and resolve technical issues across multiple systems
Stay current with emerging technologies tools and industry best practices
Contribute to multiple concurrent projects and products in a dynamic setting
What Youll Learn
The technical and professional expectations of working in an IT organization
How enterprise systems are designed deployed and maintained
Practical data engineering and business intelligence workflows
Fundamentals of enterprisegrade web applications and network environments
Agile methodologies project management tools and crossteam collaboration
How to evaluate and improve processes from an enduser or teammember perspective
Required Experience:
Intern
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