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Data-Driven Agricultural Modelling Scientist

Syngenta

Bracknell

Hybrid

GBP 45,000 - 65,000

Full time

Today
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Job summary

A leading agricultural company in Bracknell is seeking a Modelling Scientist. This role involves creating and validating predictive models to provide insights for crop protection R&D. Ideal candidates will have a Ph.D. in a related science, strong data-driven modelling skills, and experience with Python libraries. You will work closely with domain experts and engage in collaborative projects. This position offers a flexible working environment and an extensive benefits package.

Benefits

Generous pension scheme
Bonus scheme
Private medical & life insurance
Flexible working
Extensive training options

Qualifications

  • Strong foundations in data-driven predictive modelling at postgraduate level.
  • Experience with main data-science, modelling, and visualization libraries.
  • Prior experience in developing models relevant to biological or crop protection outcomes is a plus.

Responsibilities

  • Create, train and validate predictive models for active ingredient development.
  • Interpret outcomes of scientific experiments using mechanistic understanding.
  • Engage with digital transformation projects for data science impact.

Skills

Data-driven predictive modelling
Python libraries (Pandas/Polars, SciPy, MatPlotLib)
Scientific domain knowledge (biology, biochemistry, environmental sciences)
Analytical problem-solving skills
Ability to visualize and tell stories with data

Education

Ph.D. in physics, mathematics or related theoretical sciences
Job description
A leading agricultural company in Bracknell is seeking a Modelling Scientist. This role involves creating and validating predictive models to provide insights for crop protection R&D. Ideal candidates will have a Ph.D. in a related science, strong data-driven modelling skills, and experience with Python libraries. You will work closely with domain experts and engage in collaborative projects. This position offers a flexible working environment and an extensive benefits package.
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