Senior Data Scientist

Job Description

Join our global analytics team within Product Biology & Sustainable Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive Science, you will develop machine-learning and predictive-modelling approaches that guide the discovery, optimisation and development of Crop Protection solutions. You will connect diverse scientific data with business and R&D decision-making, working closely with multidisciplinary teams to generate robust insights and accelerate complex decisions.

This role offers the opportunity to work autonomously on high-impact scientific challenges, influence modelling approaches and data strategy, and collaborate with experts across an international research environment.

• 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.

• Advanced academic background in Data Science, Machine Learning, Statistics, Mathematics, Physics or a 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

• Academic or professional experience in biology, chemistry, ecology, environmental science, biokinetics or related scientific domains
• Experience working with laboratory, field-trial, environmental or other…