Information technology, software development, data jobs in Kiambu, Kenya

35 jobs found

UNEP

Data Analytics And Artificial Intelligence Intern

Nairobi Kenya
Oasis Outsourcing

Network Operations Center (NOC) Engineer – Tier 3

Nairobi Kenya
UNEP

Senior Information Systems Officer, P5

Nairobi Kenya
Software Dynamics

Junior D365 F&O Developer (X++)

Nairobi Kenya
Software Dynamics

Junior D365 CE Developer (C# / .NET)

Nairobi Kenya
All in One Software (E.A) Limited

.NET Software Developer

Nairobi Kenya
Closed for applicationsOnly on Fuzu
GIZ KE

Advisor for Strengthening Open-Source AI communities Kenya.

Nairobi Kenya
Closed for applicationsOnly on Fuzu
Helvino Technologies Limited

Sales Executives Position

Nairobi Kenya
Closed for applicationsOnly on Fuzu
Smoothtel Kenya

ICT Security & Structured Cabling Technician

Nairobi Kenya
Closed for applications

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Mastercard

Lead DevOps Engineer, Foundry RnD

Nairobi Kenya
Closed for applications

Country / Region

Profession

Seniority (Information technology, software development, data)

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UNEP

Non-profit + 1 more

Data Analytics And Artificial Intelligence Intern

Job details

Contract Type

Description

Qualifications/special skills

  • Applicants must meet one of the following requirements:
  • Be enrolled in a graduate school Programme (second university degree or equivalent, or higher).
  • Be enrolled in the final academic year of a first university degree program (minimum bachelor's level or equivalent).
  • Have graduated with a university degree and, if selected, must commence the internship within one year of graduation.

As well as:

  • Be computer literate in standard software applications.
  • Have demonstrated keen interest in the work of the United Nations and have a personal commitment to the ideals of the Charter.
  • Have a demonstrated ability to successfully interact with individuals of different cultural backgrounds and beliefs, which include willingness to try and understand and be tolerant of differing opinions and views.
  • Field of study: web development, computer science, information technology, data science or another related field is required.
  • Applicants to the UN Internship Programme are not required to have professional work. experience.
  • However, a field of study that is closely related to the type of internship that you are applying for is required.
  • Applicants must be a student in the final year of the first university degree (bachelor or equivalent), master’s or Ph.D. Programme or equivalent, or have completed a Bachelor’s, master’s or PH.D. Programme, preferably in the area of a relevant domain and experience with AI tools or technologies.
  • Do you meet any of the above criteria? If yes, please indicate which one and attach proof to the application. Please note that you will have to provide an official certificate at a later stage.
  • Knowledge of data science analysis tools (e.g. Python, or similar) is required.
  • Understanding basic concepts in data analytics and statistics is required.
  • Familiarity with artificial intelligence or machine learning concepts is desirable.


Responsibilities
  • The Intern will report to the Programme Management Officer in the Data Analytics, Statistics and Intelligence (DASI) Section. The intern will support ongoing work related to data analytics and digital tools, including contributions to a foresight platform and related analytical workflows. Tasks will include:
  • Assisting with data management, and structured analysis using tools such as Python, or similar.
  • Supporting development and improvement of data visualizations and dashboards.
  • Assisting in organizing and integrating datasets for analytical use.
  • Supporting testing and refinement of platform features, including data and user interface components.
  • Assist in conducting research on emerging AI trends, tools, and best practices relevant to Foresight.
  • Contributing to exploratory work on AI-enabled approaches (e.g. trend analysis, text analysis, or signal detection), under supervision.
  • Conducting research on data sources, analytical methods, and emerging technologies.
  • Supporting documentation of data processes, workflows, and methodologies. • Assisting in preparation of technical inputs to reports, presentations, and briefs.


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