Planning & Logistics - Graduate in Training

Description du poste:

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 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

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 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