Agriculture Data Scientist — Field Trials & Modelling

Syngenta AG; Moss End; Remote; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Pension scheme

Bonus scheme

Private medical & life insurance

Flexible working

Job summary

Syngenta Crop Protection is seeking a Data Scientist - Agriculture to drive analytics for field trials and product performance across Europe. The role involves applying postgraduate data science in biology and environmental sciences, building ML models, and collaborating with R&D and IT to deploy data-driven solutions.

You will work with international teams, explore innovative modelling approaches, and contribute to digital transformation projects that accelerate predictive field trialing and

Qualifications

• 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 ones.
• 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 utilize a range of different analytical tools and methodologies.
• Ability to visualize and story-telling 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.

Responsibilities

• Drive historical data analysis of biological field trials and assess factors influencing performance.
• Support domain experts in understanding product performance and analytics opportunities.
• Interpret data to support decision making across R&D trials.
• Guide managers in designing field trials validating hypotheses and model predictions.
• Collaborate with IT and developers to improve data-model integrations and deployed apps.
• Explore new modelling approaches and analytics tools.
• Contribute to digital transformation projects accelerating data science impact.
• Collaborate with colleagues and external partners to integrate capabilities.

Skills

Python data science

ML & DL

Data visualization

Storytelling with data

Multidisciplinary collaboration

Education

Postgraduate data science

Tools

Python libraries

Machine learning

Deep learning

Visualization tools

Job description

Syngenta Crop Protection is seeking a Data Scientist - Agriculture to drive analytics for field trials and product performance across Europe. The role involves applying postgraduate data science in biology and environmental sciences, building ML models, and collaborating with R&D and IT to deploy data-driven solutions.

You will work with international teams, explore innovative modelling approaches, and contribute to digital transformation projects that accelerate predictive field trialing and