Planning & Logistics - Graduate in Training

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 to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.