For someone who wants to build practical experience in data analysis, dataset preparation, and business decision support, this opportunity could be a strong entry point. The Data Science Graduate opportunity at Coca-Cola Beverages Africa (CCBA) in Bryanston, Gauteng is aimed at aspiring data professionals who want structured development, real project exposure, and practical learning in a large FMCG environment.
At a glance
| Field | Details |
|---|---|
| Sponsor / Employer | Coca-Cola Beverages Africa (Group Office) |
| Opportunity type | Graduate / internship opportunity |
| Job title | Data Science Graduate |
| Reference number | CCB260502-1 |
| Job category | Internships and Graduates and Bursaries |
| Location | Bryanston, Gauteng, South Africa |
| Employment type | Internship |
| Minimum qualification | Degree in, or studying towards a degree in, Data Science, Statistics, Mathematics, Computer Science, or a related field |
| Closing date | 05 May 2026 |
| Verified by us | 03 May 2026 |
What this opportunity is
This is an internship opportunity for an aspiring data science graduate at CCBA. The role is focused on providing accurate and timely data and analysis to support effective decision-making through quality dataset preparation, efficient task delivery, meaningful analysis, reliable model support, clear communication, and continuous development.
Note: This is not just a general admin graduate role. A position like this is better suited to someone who is comfortable with data, analysis, model support, reporting, and learning how to use technical skills in a real business environment.
Who this opportunity may suit
- Someone studying towards or completing a degree in a data-related field
- An applicant who wants practical data science exposure in a large business environment
- A person who enjoys analysis, problem-solving, and working with datasets
- Someone who wants structured growth, coaching, and meaningful project experience
What you’ll do / learn
You’ll gain practical exposure to dataset preparation, business analysis, model support, reporting, and working with data-driven projects in a large FMCG environment.
- Prepare datasets accurately and support data quality work
- Contribute to assigned projects and business tasks
- Support analysis and complete data-related work outputs
- Assist with model support and documentation
- Help support reports, dashboards, and visualisations
- Build capability through structured development, coaching, and on-the-job experience
- Learn from leaders and mentors in the business
Eligibility requirements
Check the requirements below before applying.
Essential requirements
- A degree in, or studying towards a degree in, Data Science, Statistics, Mathematics, Computer Science, or a related field
- Basic knowledge of Python/R and SQL
- Familiarity with Excel and/or BI tools such as Power BI or Tableau
- Track record of success or leadership assignment
- Active involvement in other activities during the academic journey
Behaviours and competencies
- Driven to make an impact
- Thirsty to learn
- Genuinely caring for customers, teams, and communities
- Willing to take ownership and lead through others
- Embraces feedback and change with courage
- Demonstrates curiosity, accountability, and optimism
- Collaborates effectively with diverse teams
- Maintains composure and resilience under pressure
- Delivers results in new situations
- Thrives in dynamic settings
- Enjoys variety and teamwork
- Strives for excellence with autonomy
- Understands and supports others
- Fosters belonging and openness
What this role really means
A graduate opportunity like this usually means learning how data supports real business decisions, not just academic exercises. In practice, that can include preparing clean datasets, helping with analysis, supporting dashboards or reports, and learning how technical work connects to commercial needs. If you are applying, it helps to show that you are curious, analytical, and willing to keep learning in a fast-moving environment.
Application checklist
Make sure your application is complete before submitting.
- Updated CV
- Certified copy of South African ID if requested later in the process
- Academic transcript or proof of qualification / current study
- Clear contact details (phone + email)
- Any supporting project work, leadership experience, or technical coursework shown clearly on your CV
- Any additional documents requested on the application portal
Need help with CVs, certified copies, and application tips? Use our Resources & Guides Hub.
About the sponsor
Coca-Cola Beverages Africa is an authorised Coca-Cola bottler operating across multiple African markets. On its official site, CCBA says it is the eighth largest Coca-Cola authorised bottler in the world by revenue and the largest on the African continent, with operations across 14 territories and a large customer and distribution footprint. Visit the CCBA website for more information.
Quick tips for applicants
- Make your degree or study field easy to identify near the top of your CV
- If you have worked on Python, R, SQL, Power BI, Tableau, or Excel projects, mention that clearly
- Show any leadership, academic, or extra-curricular involvement that reflects initiative
- Keep your CV neat and easy to scan, because analytical roles value clarity and accuracy
- Highlight curiosity, learning ability, and comfort with data-related work
Common mistakes that get applicants rejected
- Submitting a generic CV that does not show data or analytical interest
- Leaving out your degree or study details
- Not mentioning technical tools like Python, SQL, Excel, or BI tools clearly
- Ignoring the importance of leadership or broader academic involvement
- Uploading incomplete or unreadable supporting documents
- Waiting too close to the closing date to apply
Scam warning (important)
Do not pay any fee to apply for this opportunity. Use only the official CCBA careers page linked below, and be cautious of anyone asking for money, banking details, or “processing fees” outside the formal application process.
How this opportunity was verified
We checked the live official CCBA vacancy for Data Science Graduate under reference CCB260502-1 and confirmed the title, Bryanston location, internship status, closing date, role purpose, qualifications, technical knowledge requirements, and policy notes before preparing this post.
For more information about how our posts are verified, please visit our How we verify listings page.
How to apply
- Open the official vacancy page using the button below.
- Read the requirements carefully and confirm that your qualification and profile fit the role.
- Prepare your CV and supporting documents.
- Complete your application through the official CCBA careers platform.
- Submit your application before 05 May 2026.