Operations Research Intern

Operations Research consultant role 

This role is ideal for an operations research student looking for work experience in supporting a business take the next step on its digitization journey in the prescriptive analytics space. 

Syngenta manages various facilities around the globe and especially in EAME (Europe, Africa & Middle East). To improve the efficiency and the wellness of their collaborators, Syngenta is developing various tools to schedule operations and support decision making at a high level.

In our global Operations Research Team, we work on a new set of scheduling methods, able to schedule a large number of tasks and projects. Many of our problems can be categorized as a RCPSP (Resource-Constrained Project Scheduling Problem). The goal of the internship is to study and develop one or more scheduling methods.

Some key activities: 

• Academic research on state-of-the-art methods for scheduling.
• Technical development of optimization methods in the given Syngenta framework.
• Team-work mindset enabling the integration of data sources with technologies across functional boundaries. 
• Communicate with colleagues in other countries and other time zones.
• Collaborate and partner with key stakeholders in both IT and Business Analytics to deliver the next generation optimization solutions.
• Help drive the creation of new models and capabilities that will leapfrog from the traditional approach and accelerate new ways of thinking.

Accountabilities 

• Analyze business requirements and processes and ultimately translate them into the optimization space through use cases, test cases, preparation of training data sets and iterative algorithm development. 
• Implement Optimization methods. Validate designs through a series of purpose-designed testcases. 
• Report on technical issues or questions and make recommendations and collaborate with IT to implement sustainable solutions.
• Constantly be on the lookout for ways to improve the solution, including the end-user interface, discover issues and deliver better value to the stakeholders. 
• Perform academic research of most promising papers to determine good methods to implement.
• Discover new algorithms to solve problems and build programs to automate repetitive work if necessary. 
• Build a benchmark using existing models that can potentially be customized for the project needs through the integration of the required variables.   
• Ability to deploy the model in production giving the stakeholders access to the results in a manner that the output is easily understood by the business.