Job Information
The Coca-Cola Company Planning & Logistics - Graduate in Training in Manzini, Swaziland
Summary
We are seeking an analytical, technically skilled Data Scientist supporting Supply Chain Planning with a strong data science background to drive automation and digitization initiatives within our Beverages Manufacturing Production Planning environment at CPS Conco. You will play a critical role in optimizing the end-to-end production planning and S&OP process, leveraging advanced analytics and automation to enable smarter, more efficient scheduling. Your contributions will directly enhance departmental productivity, reduce overtime, and build a culture of continuous improvement through data-driven decision making.
Key Responsibilities
Production Plan Optimization & Scheduling
Develop and maintain optimized master production schedules utilizing SAP ERP and IBP, integrating forecast data, demand signals, and capacity constraints.
Lead the automation of scheduling and planning tasks by deploying advanced analytics and data science methodologies.
Identify and digitize manual planning processes-streamlining workflows, eliminating inefficiencies, and ensuring scalability.
Process Digitization & Automation
Design and implement digital tools, including Power BI dashboards, to provide real-time visibility of schedule adherence, production efficiency, material availability, and bottlenecks.
Collaborate with IT, Operations, and Planning teams to automate data flows between SAP, IBP, and analytical platforms, minimizing manual intervention.
S&OP (Sales & Operations Planning) Enhancement
Support the monthly S&OP process with scenario modeling, sensitivity analysis, and 'what-if' simulations, using data science to drive optimal production and inventory outcomes.
Enable the planning team to make faster, smarter decisions through the creation of robust dashboards and KPIs.
Data Analysis & Continuous Improvement
Analyze plant and planning data to uncover inefficiencies, cost drivers, and potential automation opportunities.
Provide actionable insights and drive projects that reduce overtime and improve planning accuracy and team productivity.
Develop business cases for major planning optimization initiatives, quantifying expected productivity benefits and ROI.
Minimum Requirements
Bachelors degree in Data Science, Industrial Engineering, Operations Research, Applied Mathematics, or related field.
0-1 year experience (internships, academic or project work accepted)
Advanced experience with Power BI and data visualization tools.
Proficient in Python and/or R for data analysis, automation, and optimization model development.
Solid grasp of statistical analysis, predictive modeling, and process optimization.
Hands-on experience designing and automating planning processes in a manufacturing context.
Excellent communication and project management skills
0-1 year experience (internships, academic or project work accepted)
Technical Skills
Basic to intermediate proficiency in Python
Familiarity with:
Data analysis (Pandas, SigmaXL etc)
Data visualization (Power BI)
Understanding of:
Statistical analysis
Optimization concepts
Exposure to SQL or manufacturing systems (advantageous)
Key Competencies
Strong analytical and problem-solving skills
Ability to translate data into actionable insights
High attention to detail and structured thinking
Effective communication (technical and non-technical)
Curiosity, initiative, and willingness to learn
Location(s):
Eswatini
City/Cities:
Manzini
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
May 1, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision (https://www.coca-colacompany.com/company/purpose-and-vision) to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.