Data Scientist, Agriculture - Flexible, Impactful R&D

Syngenta; Bracknell; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A global agricultural innovation leader is seeking a Data Scientist to analyze historical biological data and provide data-driven insights for crop protection R&D. The ideal candidate will have strong foundations in data science and experience with Python libraries, particularly in relation to biology or environmental sciences. The position is based in the United Kingdom and offers flexible working within an extensive benefits package.

Benefits

Extensive benefits package

Flexible working

Learning culture and training options

Qualifications

• Strong foundations in data science at postgraduate level with applications in natural sciences.
• Proven experience in data science, analytics, modeling, and visualization using Python.
• Scientific domain knowledge in environmental sciences or biology.
• Hands-on experience with machine-learning models for biological outcomes.
• Ability to visualize results and communicate them effectively.

Responsibilities

• Analyze historical biological data to uncover patterns for crop protection.
• Support experts in understanding product performance and analytics opportunities.
• Contribute to strategic initiatives by interpreting diverse data.
• Guide design of field trials to validate scientific hypotheses.
• Engage with digital transformation projects to enhance data science impact.

Skills

Data science foundations

Python analytics libraries

Scientific domain knowledge

Machine learning models

Generative AI approaches

Data insights communication

Adaptability

Data visualization

Analytical problem-solving

Education

Postgraduate degree in data science or related field

Tools

Python

Job description

A global agricultural innovation leader is seeking a Data Scientist to analyze historical biological data and provide data-driven insights for crop protection R&D. The ideal candidate will have strong foundations in data science and experience with Python libraries, particularly in relation to biology or environmental sciences. The position is based in the United Kingdom and offers flexible working within an extensive benefits package.