Job Description
Position: Data Scientist – Agriculture
Location: We could consider candidates based at additional locations within Europe
We have an exciting opportunity for Data Scientists to join our Global Data Analytics & Predictive Science Team in the Product Biology department. Within these roles you will work on Syngenta historical 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 deepen our understanding of biological performance in crop protection and guide the design, optimisation and development of novel crop protection solutions.
Key responsibilities will include:
- Driving historical data analysis of biological field trials by identifying patterns and analysing the impact of key factors including product formulations, rates, mixtures, agricultural practices, and environmental conditions on product performance.
- Supporting domain experts in understanding product performance and identifying analytics opportunities to drive business value.
- Contributing to strategic business initiatives across Crop Protection R&D by interpreting physical chemistry, biokinetic, formulation, marketing and environmental data to support decision‑taking and design of laboratory, glasshouse and field trials.
- Guiding technical managers in designing field trials aimed at validating scientific hypotheses and model predictions.
- Working with R&D IT and software developers to improve data‑model integrations and to deploy applications tailored to shareholders’ 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 field trialing.
- Working with colleagues and external collaborators to understand their complementary capabilities and integrate them into projects and initiatives.
Qualifications
What we are looking for
- Strong foundations in data science at postgraduate level with applications in natural sciences (e.g. biology, ecology, environmental sciences).
- Proven experience in the use of the main data‑science, analytics, modelling and visualization Python libraries, including machine learning and deep learning libraries.
- Scientific domain knowledge in related fields such as environmental sciences or biology.
- Prior experience in developing machine‑learning models relevant to biological or crop protection outcomes.
- Hands‑on experience leveraging generative AI (genAI) approaches for data exploration, model development, or research acceleration is a plus.
- Knowledge of data analysis and extracting data insights and new understanding, while communicating scientific and data concepts to specialist and non‑specialist audiences.
- Adaptability to different business challenges and data types/sources and to learn and utilise a range of different analytical tools and methodologies.
- Ability to visualise and tell a story with data to communicate results to shareholders with different levels of technical proficiency.
- Analytical problem‑solving skills with innovative thinking, while effectively collaborating across diverse teams and managing multiple priorities in a multicultural scientific environment.
Benefits
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance (depends on the contracting country).
- A position which contributes to valuable and impactful work in a stimulating and international environment.
- Learning culture and a wide range of training options.
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
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