Address: 115 ED Mnangagwa Rd, Highlands, Harare Whatsapp (ONLY for CV Making): +263784644514

GRADUATE TRAINEES – DATA SCIENCE – Bindura University of Science Education

Job Expired
Bindura University of Science Education is recruiting Graduate Trainees! Bindura University of Science Education is seeking dynamic and qualified recent graduates for three exciting graduate trainee positions within its ICT Department. These roles provide an excellent opportunity for fresh graduates to gain practical experience, develop professional skills, and contribute to innovative university projects. Applications are invited from recent graduates to assist in data collection, analysis, visualization, management, and development of analytical models. Trainees will collaborate on data-driven projects to support decision-making and institutional improvements.

Job Summary

  • Type: internship
  • Location: Bindura
  • Category: Data Science
  • Closing Date: 2026-07-21

Key Responsibilities

  • Collect and analyze data from university information systems
  • Develop dashboards, reports, and visualizations for management
  • Maintain data quality through validation and cleansing
  • Support the development and testing of statistical, predictive, and machine learning models
  • Collaborate with academic and administrative departments on data projects

Requirements

  • Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, Economics, Information Systems, or related field
  • Graduated within the last 2 years with a minimum 2.1 degree class
  • Knowledge of Python and/or R programming
  • Understanding of statistics, data analysis, SQL, and data visualization tools (Power BI, Tableau, Excel)
  • Basic knowledge of machine learning concepts

How to Apply

To apply, please visit: jobs.buse.ac.zw

About the Company

In 1995, the Government made a decision to address the problem of the shortage of science teachers locally by setting up a University of Science Education. The Bindura University College of Science Education was established under the University of Zimbabwe. Arrangements were made for it to be housed at the Provincial Public Service Training Centre in Bindura.The College finally opened on 26 March 1996 with an intake of 125 students. Among the lecturing staff, were five lecturers from Cuba. This development coincided with and was partly, a consequence of the termination of the Zimbabwe-Cuba Science Teacher Training programme which had begun operating in the mid-1980s. The University Council then set up a Planning Committee, which was charged with the responsibility of transforming the College into a University within a period of less than five yearsGovernment gazetted the Bindura University of Science Education Act in February 2000, conferring University status to the College. A University Council with Professor C J Chetsanga as its Chairman was appointed. Professor C E M Chikombah, who had been the College's substantive Pro-Vice Chancellor since 1997 became the Acting Vice Chancellor.Since its inception, the University is operating from the Public Service Training Centre, on a temporary basis, pending the construction of the Main Campus. This is being built on a 159 hectare plot about two kilometres from the town centre along the Bindura - Mount Darwin Road

View all jobs at this company →

Frequently Asked Questions

What academic qualifications and certifications are typically required for a Data Science Graduate Trainee role in Zimbabwe?

Candidates usually need a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field from a recognized university. While not always mandatory, demonstrating skills through projects or certifications in programming languages like Python/R, SQL, and machine learning tools is highly advantageous.

What would be the common day-to-day responsibilities for a Data Science Graduate Trainee at a university in Zimbabwe?

Day-to-day tasks typically involve assisting senior data scientists or researchers with data collection, cleaning, and analysis for various academic projects or institutional data. You would also be involved in developing predictive models, visualizing data insights, and generating reports, often contributing to research publications or operational improvements.

What is the typical work culture and what are the expectations for graduate trainees within a Zimbabwean university setting?

The work culture often emphasizes mentorship, continuous learning, and collaborative research, particularly within an academic institution. Trainees are generally expected to show initiative, a strong willingness to learn, adapt to new technologies, and contribute actively to team projects while adhering to professional standards.

What are the realistic career progression and growth paths for a Data Science Graduate Trainee after completing the program in Zimbabwe?

Successful trainees can progress into roles such as Junior Data Scientist, Data Analyst, or Research Assistant within the university, other academic institutions, or the private sector. Further career growth often involves specializing in areas like AI/ML engineering, big data architecture, or even pursuing higher degrees like a Masters or PhD in Data Science.

What are the typical benefits like leave, medical aid, and pension offered to graduate trainees in Zimbabwean institutions?

Graduate trainees in Zimbabwe typically receive standard employment benefits, including statutory leave days such as annual, sick, and maternity/paternity leave in line with labour laws. Access to medical aid schemes and pension contributions is also common, though the specific packages can vary between public sector institutions and private companies.

What should a job seeker in Zimbabwe focus on when applying for a Data Science Graduate Trainee position, and what do employers look for?

Applicants should highlight their academic achievements, practical project experience, and proficiency in relevant data science tools and programming languages. Employers in Zimbabwe typically seek candidates with strong analytical skills, problem-solving abilities, a demonstrable passion for data, and a good cultural fit for collaborative team environments.

  • This job has expired!
Share this job
Email Me Jobs Like These

Leave your thoughts

Get daily jobs updates through your email

JobsZW