Data Scientist, Agriculture & Crop Analytics

Syngenta Crop Protection; Bracknell; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading agricultural solutions provider is seeking a Data Scientist to join its Global Data Analytics & Predictive Science Team. This position involves analyzing historical biological data to derive insights for product development across R&D functions. Ideal candidates will have a strong foundation in data science, experience with Python libraries, and the ability to communicate complex data concepts. Flexible working arrangements are offered, along with a comprehensive benefits package.

Benefits

Generous pension scheme

Bonus scheme

Private medical & life insurance

Flexible working

Wide range of training options

Qualifications

• Strong foundations in data science at postgraduate level with applications in natural sciences.
• Proven experience in the use of main data-science and analytics libraries, including machine learning.
• Ability to visualize data effectively and communicate results.

Responsibilities

• Analyze historical data to identify patterns impacting crop protection.
• Support domain experts in evaluating product performance.
• Contribute to strategic initiatives by interpreting diverse scientific data.

Skills

Data science foundations

Python libraries (data science, analytics)

Scientific domain knowledge (biology)

Machine learning model development

Generative AI approaches

Data insights communication

Adaptability to different data types

Data visualization and storytelling

Analytical problem-solving

Education

Postgraduate degree in a relevant field

Tools

Python

Machine learning libraries

Job description

A leading agricultural solutions provider is seeking a Data Scientist to join its Global Data Analytics & Predictive Science Team. This position involves analyzing historical biological data to derive insights for product development across R&D functions. Ideal candidates will have a strong foundation in data science, experience with Python libraries, and the ability to communicate complex data concepts. Flexible working arrangements are offered, along with a comprehensive benefits package.