No Experience Information Science Intern Jobs – ASIGMA
Internship Opportunity: Information Science Intern at ASIGMA
Organization: ASIGMA
Duty Station: Kampala, Uganda
About ASIGMA:
ASIGMA comprises three subsidiaries – Advisory, Data, and Capital. It leverages data and technology to add value to organizations, with services in investment advice, business case development, and project management in various sectors.
Job Summary:
ASIGMA is seeking passionate and motivated Information Science interns in Kampala, Uganda. This is an excellent opportunity for individuals with an interest in information technology and data management. Interns will gain practical experience in information science, working on real-world projects and contributing to innovative solutions.
Key Duties and Responsibilities:
- Data Collection and Analysis:
- Identify and evaluate data sources.
- Import and clean data for analysis.
- Organize and analyze large datasets.
- Develop data cleaning and transformation procedures.
- Address data quality issues and transform data for analysis.
- Document data processes.
- Data Visualization and Reporting:
- Utilize visualization tools for insightful reporting.
- Choose appropriate visualization techniques.
- Design and present clear, informative reports.
- Support data-driven decision-making with visualizations.
Qualifications, Skills, and Experience:
- Currently pursuing a degree in Information Science, Computer Science, or related field.
- Strong understanding of Data Management principles.
- Proficiency in Data Analysis tools like SQL, Python, and R.
- Excellent communication and teamwork skills.
- Ability to work independently and in a team.
Application Process: Interested candidates should apply online, demonstrating their qualifications and experience relevant to the internship.
Closing Date: Not specified.
This internship offers a unique chance for students and recent graduates to apply their academic knowledge in a practical setting, develop their skills, and gain valuable experience in the field of information science.