Senior Data Scientist: Predictive Science for Crop Protection

Syngenta Group; Greater London; On-site; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Pension scheme

Bonus scheme

Private medical & life insurance

Up to 31.5 days annual holiday

Job summary

Syngenta Crop Protection is seeking a Senior Data Scientist – Predictive Science to develop machine-learning and predictive models that guide discovery, optimisation and development of Crop Protection solutions. You will connect diverse scientific data with business and R&D decision-making in an international research environment.

The role offers autonomy on high-impact scientific challenges, collaboration with multidisciplinary teams, and opportunities to influence data strategy and modelling

Qualifications

• Advanced academic background in Data Science, Machine Learning, Statistics, Mathematics, Physics or related quantitative discipline; postgraduate education is strongly preferred
• Demonstrated experience developing machine-learning or predictive models for biological, scientific, agricultural, life-science or Crop Protection-related outcomes
• Strong knowledge of Python and relevant data science, analytics and modelling tools
• Strong understanding of model validation, robustness assessment and the interpretation of predictive-model performance
• Experience analysing complex datasets and translating findings into clear, actionable insights
• Experience collaborating with scientists, data scientists or technical specialists to solve complex problems
• Strong analytical thinking, creative problem-solving and intellectual curiosity
• Ability to work independently, manage priorities effectively and deliver work to a high standard of accuracy
• Strong communication skills, including data visualisation and storytelling for specialist and non-specialist audiences
• Professional proficiency in English

Responsibilities

• Develop and validate predictive models based on historical, experimental and scientific data to support project and business decisions
• Partner with multidisciplinary teams to support the discovery, optimisation and development of Crop Protection leads and product candidates
• Integrate and analyse data from different sources, including physical chemistry, biokinetic, environmental, laboratory, glasshouse and field-trial data
• Work with scientists to understand complex problems and identify opportunities where predictive modelling can create value
• Provide guidance on experimental and field-trial design to improve data quality and enable effective modelling
• Collaborate with R&D IT and software development teams to build data connections and deploy analytical or customer-facing applications
• Investigate interdisciplinary and multiscale modelling approaches to address scientific challenges
• Monitor relevant developments across industry, academia and technology providers, assessing new methods and tools for their potential application
• Collaborate with external partners where relevant, integrating complementary expertise into projects and programmes
• Contribute to data strategy through the effective connection and use of internal and external scientific data sources
• Establish and track key performance indicators and success metrics for predictive modelling initiatives to demonstrate business impact
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and methodological excellence within the team
• Ensure robust documentation of modelling approaches, assumptions and validation procedures to support reproducibility and knowledge transfer
• Communicate complex analytical findings to non-technical stakeholders through clear visualisations and executive summaries
• In the first months, you will build strong internal partnerships and Crop Protection domain knowledge, support active-ingredient projects using established modelling methods, and identify opportunities to accelerate the impact of predictive science

Skills

Analytical thinking

Communication skills

Independent worker

Team collaboration

Education

Advanced degree in quantitative field

Tools

Python

Job description

Syngenta Crop Protection is seeking a Senior Data Scientist – Predictive Science to develop machine-learning and predictive models that guide discovery, optimisation and development of Crop Protection solutions. You will connect diverse scientific data with business and R&D decision-making in an international research environment.

The role offers autonomy on high-impact scientific challenges, collaboration with multidisciplinary teams, and opportunities to influence data strategy and modelling