Job Description Summary:
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 processesâstreamlining 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 âwhat-ifâ 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.
- 0â1 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
- 0â1 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
Skills:
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 whatâs possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors â curious, empowered, inclusive and agile â 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.