GenAI Data Scientist II for Crop Protection R&D

Syngenta; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Generous pension and private medical &

Life insurance

Up to 31.5 days annual holiday

Flexible working

Learning & development opportunities

Job summary

Syngenta UK is seeking a Mid Data Scientist – GenAI to join our global analytics team at Jealott's Hill. You will build predictive models and apply GenAI methods to translate complex biological questions into practical analytical solutions across biology, chemistry and environmental sciences.

You will prototype GenAI applications, develop knowledge graphs and agentic workflows, and contribute to responsible AI initiatives while delivering value in Crop Protection R&D.

Qualifications

• Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a quantitative natural science; equivalent practical experience will be considered.
• 1–4 years of relevant professional or research experience; internships, academic projects and thesis work may be considered.
• Strong foundation in machine learning, statistical modelling, experimental design and model validation.
• Proficiency in Python for data science and ml, including pandas, scikit-learn, PyTorch or TensorFlow.
• Experience cleaning, integrating and preparing complex/heterogeneous datasets for analysis.
• Familiarity with software engineering best practices, including Git, testing, documentation and reproducible workflows.
• Strong analytical and critical-thinking skills, with the ability to evaluate AI outputs.
• Ability to collaborate with scientists and communicate insights clearly to technical and non-technical audiences.
• Professional proficiency in English.

Responsibilities

• Develop predictive models using historical and experimental data to support decisions across Crop Protection R&D.
• Prepare, integrate and analyse heterogeneous datasets from internal and external sources, ensuring data quality and integrity throughout the analytical pipeline.
• Partner with scientific domain experts to identify high-value data science opportunities and translate them into practical analytical solutions.
• Support the design of experiments and field trials to enable effective modelling and analysis.
• Prototype and iterate on GenAI applications, including retrieval-augmented generation (RAG), literature knowledge extraction, summarisation and AI-assisted research workflows.
• Build and work with knowledge graphs to structure scientific relationships and provide grounded context for AI-driven reasoning.
• Develop agentic workflows that combine LLMs with tools, databases and APIs to automate multi-step scientific tasks.
• Support the evaluation, validation and governance of AI-powered tools, ensuring outputs are reliable and appropriate for human decision-making.
• Work with R&D IT and software engineering teams to build data connections and deploy analytical tools or applications.
• Contribute to the development and documentation of data governance frameworks and best practices for responsible AI in scientific workflows.
• Participate in knowledge-sharing initiatives, including documentation of methodologies and lessons learned.
• Keep up to date with developments in data science, ML and GenAI and share insights with the team.
• In your first months, build Crop Protection domain knowledge and deliver initial use cases demonstrating measurable value.

Skills

English proficiency

GenAI familiarity

Python for data science

Data science fundamentals

Collaboration & communication

Critical thinking

Education

Master's degree in Data Science or related field

1–4 years experience or equivalent

Equivalent practical experience

Tools

Neo4j

Cypher

SPARQL

AWS/Azure

LangChain/ LangGraph

Job description

Syngenta UK is seeking a Mid Data Scientist – GenAI to join our global analytics team at Jealott's Hill. You will build predictive models and apply GenAI methods to translate complex biological questions into practical analytical solutions across biology, chemistry and environmental sciences.

You will prototype GenAI applications, develop knowledge graphs and agentic workflows, and contribute to responsible AI initiatives while delivering value in Crop Protection R&D.