Role purpose 

• To collaborate and partner with key stakeholders to deliver the next generation AI, ML and Predictive analytics Model
• To work as part of an Data science team enabling the integration of data sources with next generation technologies across functional boundaries.
• Enable Power users and decision makers to solve ever more complex problems by encouraging and delivering innovative solutions that impact business outcomes.
• Work with analysts, product teams and other leaders within Syngenta, translating data-driven insights into actions and decisions.
• Lead and drive a culture of creativity and expert support, enabling yourself and the team to identify, design and deliver appropriate datasets and linkages for complex data.

Accountabilities

• Drive the creation of new models and capabilities that will leapfrog traditional approach based modeling and accelerate new ways of thinking
• leveraging a wide array of data from both traditional (Internal) and nontraditional (External) sources.
• Conceptualize, analyze and develop actionable recommendations for strategic challenges facing the organization.
• Work with key stakeholders and understand their needs to develop new or improve existing solutions around data and analytics.
• Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
• Manage data analysis to develop fact-based recommendations for innovation projects.
• Mine Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions.
• Work with cross-functional teams to develop ideas and execute business plans.
• Remain current on new developments in data analytics, Big Data, predictive analytics, and technology