• High-quality seeds ensure better and more productive crops, which is why farmers invest in them
• 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
• The goal of the internship is to study and develop one or more scheduling methods
• 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
• 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
• Operations Research - Math, Computer Science, or related field of study
• Strong English written and verbal communication skills
• Solid Team player attitude
• Passion for solution delivery and stakeholder engagement
• Knowledge of prescriptive, modelling, and development tools and experience working with data
• Ability to write scientific codes with following languages:
• C++
• Any other prescriptive modeling language
• Knowledge of operations research algorithms applied to scheduling
• Problem solving skills with the ability to design optimization pipelines, which may include data ingestion and data delivery
• Strong analytical capabilities
• Experience with version control tools such as Git to efficiently track the project from A to Z

Problem solving skills with the ability to design optimization algorithms, which may include data Working with cross-functional / organizational / geography people and teams

Basic knowledge of SQL and data visualization tools (matlab, ggplot, plotly, qliksense, tableau, etc.)

Family and Medical Leave Act (FMLA)