Data Science Graduate at The Coca-Cola Company

Purpose

• To provide accurate, timely data and analysis that support effective decision-making, through high-quality dataset preparation, efficient task delivery, meaningful analysis, reliable model support, clear communication, and continuous development.

What’s in it for you?

As an Intern you will:

• Build capability through structured development, coaching, and on-the-job experience.
• Contribute to meaningful business projects that create real impact.
• Learn from experienced leaders and mentors who will guide your growth.
• Experience what it means to lead with courage, integrity, and curiosity in one of Africa’s most dynamic FMCG environments.

Key Duties & Responsibilities    
What you’ll do?

• Data quality and support : % of datasets prepared without errors; Turnaround time on assigned tasks
• Learning & contribution : Completion of assigned projects
• Analysis effectiveness : # of analyses completed
• Model support : # of models supported; Quality of documentation and reproducibility
• Communication effectiveness : Feedback on clarity of visualisations; # of reports/dashboards supported

Skills, Experience & Education    
What we expect from you:

You might have different skills, but the successful one is always one that:

• Driven to make an Impact
• Thirsty to Learn
• Genuinely Caring for customers, teams and communities
• Willing to take ownership and lead through others

Behaviours:

• Embraces feedback and change with courage.
• Demonstrates curiosity, accountability, and optimism.
• Collaborates effectively with diverse teams.
• Maintains composure and resilience under pressure.

Competencies:

• Impact-Driven: Delivers results in new situations
• Fast-Paced: Thrives in dynamic settings
• Influencer: Wants to shape how things are done
• Challenge-Seeker: Enjoys variety and teamwork
• Independent: Strives for excellence with autonomy
• Empathetic: Understands and supports others
• Inclusive: Fosters belonging and openness

Qualifications and Experience:

Qualifications:

• A degree in, or studying towards a degree in, data science, statistics, mathematics, computer science, or a related field

Experience:

• Actively involved in various other activities throughout the academic journey
• Track record of success/ Leadership assignment
• Basic knowledge of Python/R and SQL
• Familiarity with Excel and/or BI tools (e.g. Power BI, Tableau

Deadline:5th May,2026