IAESTE Switzerland – Jobsuche

Latest Possible Start Date within Months Oct 2026 – Jul 2027

Duration: 12 – 24 weeks

Salary: 15000 KES per Month

Accommodation cost: 5000 KES per Month

Working Environment: Office work

Working Hours/Week: 40 h

Deductions Expected: None

Payment Method: Cash

Arranged by: Student with help from Employer

Estimated Cost of Living including Lodging: 15000 KES / Month

Additional information

The university will provide necessary access to computing resources, licensed software, data repositories, and supervision. Access to relevant local data sources may be arranged as needed.

• Collaborate with faculty and postgraduate researchers to define analytical objectives and 

  formulate appropriate statistical or data science approaches for ongoing research projects.

  
  

• Perform exploratory data analysis to identify patterns, trends, and anomalies in datasets from 

  various disciplines.

• Apply statistical modeling techniques to address research questions.

• Implement machine learning algorithms for prediction, classification, or clustering tasks as 

  needed.

• Develop and maintain reproducible data processing and analysis pipelines using scripting 

  languages.

• Create clear and informative data visualizations and dashboards to communicate findings to 

  both technical and non-technical audiences.

• Prepare and clean datasets, ensuring data quality, integrity, and compliance with ethical 

  standards.

• Document all analytical processes, code, and outputs in accordance with best practices in 

  reproducible research.

• Analyze experimental or observational data and present findings in a final written report and/or 

  oral presentation to the department.

• General Discipline: 

  Computer Science/

  lnformatics, Mathematics 

  and Statistics

• Field of Study: Data Science

• 2 completed Years of Study

• Language Required: 

  English Excellent (C1, C2)

• Required Qualifications and Skills:

  • Programming Language Python, 

    MATLAB, SPSS

  • Problem solving skills

  • Strong foundations in probability, 

    statistical inference, and regression 

    analysis

  • Strong theoretical and practical 

    knowledge in statistics, probability theory, 

    and data analysis

  • Ability to prepare clear statistical reports 

    and deliver oral presentations

  • Experience with machine learning 

    techniques is an advantage

  • Familiarity with data visualization tools is 

    a plus

  • Demonstrated research experience 

    through previous projects, thesis work, or 

    publications involving data analysis is an 

    added advantage

  • Student Status 

    required during the whole period of 

    internship

KIBABII UNIVERSITY

kibu.ac.ke

Bungoma, Kenya

527 Employees