About the Role
The role involves building accurate process simulations based on real-world data, working alongside engineers and analysts to deliver insights and improvements for client operations.
Responsibilities
- Develop process simulation models using structured methodologies
- Translate client workflows into digital representations
- Collaborate with technical teams to validate model accuracy
- Use data to refine and optimize model outputs
- Support the delivery of process improvement recommendations
- Document modeling assumptions and methodologies clearly
- Participate in client meetings to understand operational needs
- Iterate on models based on feedback and new data
- Maintain version control for modeling projects
- Ensure models align with business objectives
- Work within established development frameworks
- Contribute to testing procedures for model reliability
- Present findings to project stakeholders
- Assist in integrating models with analytical tools
- Follow best practices in data handling and security
- Manage time effectively across multiple assignments
- Adapt modeling techniques to different industries
- Identify data quality issues and suggest corrections
- Support automation of repetitive modeling tasks
- Stay current with modeling software updates
- Participate in knowledge-sharing sessions
- Escalate complex technical challenges appropriately
- Maintain clear communication with project leads
- Ensure deliverables meet quality standards
- Contribute to project planning and estimation
Compensation
Competitive salary with benefits
Work Arrangement
Hybrid
Team
Close-knit, interdisciplinary team focused on innovation and delivery
About the Team
- The team combines technical expertise with deep domain knowledge to solve complex operational challenges using modeling and data science.
- Collaboration is central, with regular reviews and peer input to ensure high-quality outputs.
Technology Stack
- Models are built using proprietary simulation platforms and industry-standard data tools.
- Development environments include cloud-based collaboration and versioning systems.
Available for qualified candidates
