GenAI Data Scientist II — AI for Crop Protection Insights

Syngenta Group; Greater London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Generous pension

Up to 31.5 days annual holiday

Training and development opportunities

Job summary

Syngenta Crop Protection, part of Syngenta Group, invites a Mid Data Scientist - GenAI to join its global analytics team at Jealott’s Hill, UK. You will design ML solutions and GenAI workflows, collaborating with biology, chemistry and environmental science experts to translate complex questions into practical analyses.

You will build predictive models, develop data pipelines, and explore responsible AI in a highly international setting, contributing to meaningful R&D initiatives.

Qualifications

• Master's degree in Data Science, CS, Statistics, Mathematics, Physics or quantitative natural science or equivalent practical experience.
• 1–4 years of relevant professional or research experience.
• Strong foundation in ML, statistical modelling, experimental design and model validation.
• Proficiency in Python for data science and ML (pandas, scikit-learn, PyTorch, TensorFlow).
• Experience cleaning, integrating and preparing complex datasets; familiarity with software engineering practices like Git, testing and reproducible workflows.

Responsibilities

• Develop predictive models using historical and experimental data to support decisions in Crop Protection R&D.
• Prepare, integrate and analyse heterogeneous datasets ensuring data quality and integrity.
• Collaborate with scientists to translate questions into analytical solutions.
• Design experiments and field trials to enable effective modelling and analysis.
• Prototype GenAI applications, including RAG, literature extraction, summarisation and AI-assisted workflows.
• Build and utilize knowledge graphs to structure scientific relationships for AI reasoning.
• Develop agentic workflows combining LLMs with tools, databases and APIs.
• Contribute to governance of AI-powered tools and responsible AI practices.

Skills

Python (data science)

Machine learning

Statistical modelling

Experimental design

Data cleaning

Data integration

Git

Critical thinking

English proficiency

Education

Master's degree in data-related field

Tools

Pandas

Scikit-learn

PyTorch

TensorFlow

Git

Job description

Syngenta Crop Protection, part of Syngenta Group, invites a Mid Data Scientist - GenAI to join its global analytics team at Jealott’s Hill, UK. You will design ML solutions and GenAI workflows, collaborating with biology, chemistry and environmental science experts to translate complex questions into practical analyses.

You will build predictive models, develop data pipelines, and explore responsible AI in a highly international setting, contributing to meaningful R&D initiatives.