About the Role
Our client, a forward-thinking technology solutions provider based in Randburg , is seeking a highly skilled Senior Industrial Engineer with expertise in simulation and modeling. This role is integral to designing, testing, and optimizing complex operational systems before implementation. The ideal candidate will possess advanced proficiency in simulation software and a deep understanding of industrial engineering principles applied to areas such as logistics, manufacturing, and service operations. You will lead projects that involve creating sophisticated models to predict system performance, identify bottlenecks, and evaluate various strategic alternatives. This is a challenging and rewarding opportunity for an experienced engineer to leverage cutting-edge modeling techniques to drive significant improvements in efficiency and effectiveness for our client's operations across Gauteng and beyond.
Key Responsibilities
- Develop, validate, and run complex simulation models of operational systems (e.g., production lines, supply chains, service centers).
- Analyze simulation results to identify system bottlenecks, inefficiencies, and areas for improvement.
- Design and evaluate alternative system configurations, operational strategies, and resource allocations using modeling and simulation.
- Provide data-driven recommendations to optimize system performance, throughput, cost, and resource utilization.
- Collaborate closely with cross-functional teams, including operations, IT, and management, to define project requirements and interpret results.
- Develop clear and concise reports and presentations summarizing modeling findings and recommendations.
- Stay current with the latest advancements in simulation software, modeling techniques, and industrial engineering best practices.
- Mentor junior engineers in the application of simulation and modeling tools.
- Contribute to the development and standardization of modeling methodologies and best practices within the organization.
- Ensure models accurately represent real-world systems and their dynamics.
Requirements
- Master's degree in Industrial Engineering, Operations Research, or a related quantitative field.
- A minimum of 6-8 years of experience in industrial engineering, with a strong specialization in simulation modeling and analysis.
- Expertise in discrete-event simulation software (e.g., Arena, AnyLogic, Simio) is essential.
- Strong understanding of statistical analysis, probability, and experimental design.
- Proficiency in programming languages (e.g., Python, R) for data analysis and model enhancement is a plus.
- Excellent problem-solving skills and the ability to translate complex problems into solvable models.
- Strong analytical and critical thinking capabilities.
- Exceptional communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.
- Experience working in the Randburg area or a similar corporate environment.
- Demonstrated leadership potential and experience leading complex analytical projects.
- Ability to work independently and collaboratively in a team setting.
Benefits
- Highly competitive salary package.
- Executive bonus structure.
- Comprehensive health, dental, and vision insurance.
- Generous retirement savings plan.
- Opportunities for advanced training, certifications, and conference attendance.
- Significant annual leave allowance.
- Access to cutting-edge simulation software and computing resources.
- A role with high visibility and strategic impact.
- Relocation assistance for qualified candidates.
- Vibrant and innovative work culture.