About the role
Position: Machine Learning Scientist
Location: We could consider candidates based at additional locations within Europe
Application process: Carefully read instructions in "Additional Information" section
We have an exciting opportunity for a Machine Learning Scientist to join our Digital Biology Group in Crop Protection Research and Development. Within this role you will work on Syngenta biological data to uncover patterns and deliver new data-driven insights for active ingredient development across R&D functions. You will be asked to analyse and interpret the outcome of scientific experiments with your analytical skills as well as machine learning approaches. Your work will bring forward our understanding of biological performance in crop protection and guide design, optimization and development of novel crop protection solutions. Key responsibilities will include:
- Using exploratory analytical approaches across a range of biological lab, glasshouse & field trial data to identify the key factors impacting on performance on active ingredients.
- Interacting with domain experts to understand scientific questions, our scientific protocols and identify analytics opportunities to drive business value.
- Contributing to strategic business initiatives across Crop Protection data to support decision making and collaborating to design laboratory, glasshouse and field trials.
- Collaborating and influencing the design of Research Biology capabilities to support predictive modelling activities.
- Working with R&D IT and software developers to improve predictive model deployment applications tailored on stakeholder needs.
- Monitoring and exploring new modelling approaches, analytical tools and methodologies.
- Engaging with high-priority digital transformation projects to understand opportunities to accelerate the impact of data science for predictive biology studies.
- Working with colleagues and external collaborators understanding their complementary capabilities and integrating them into projects and initiatives.