Senior Data Scientist: Predictive Science for Crop Protection

Senior Data Scientist: Predictive Science for Crop Protection

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop machine-learning models to enhance Crop Protection solutions.
  • Company: Syngenta Crop Protection, a leader in agricultural innovation.
  • Benefits: Autonomy in your role, collaborative teams, and impactful projects.
  • Other info: Join a dynamic international research environment with growth opportunities.
  • Why this job: Make a real difference in agriculture with cutting-edge data science.
  • Qualifications: Experience in data science and machine learning required.

The predicted salary is between 63000 - 77000 Β£ per year.

Syngenta Crop Protection is seeking a Senior Data Scientist – Predictive Science to develop machine-learning and predictive models that guide discovery, optimisation and development of Crop Protection solutions. You will connect diverse scientific data with business and R&D decision-making in an international research environment.

The role offers autonomy on high-impact scientific challenges, collaboration with multidisciplinary teams, and opportunities to influence data strategy and modelling.

Senior Data Scientist: Predictive Science for Crop Protection employer: Syngenta Group

At Syngenta, we pride ourselves on being an exceptional employer, fostering a collaborative and inclusive work culture that prioritises professional development and work-life balance. Located in Huddersfield, our team is dedicated to making a meaningful impact in sustainable agriculture, offering extensive benefits including a generous pension scheme, private medical insurance, and up to 31.5 days of annual leave. Join us in our mission to revolutionise plant protection while enjoying a supportive environment that values diversity and empowers employees to grow.

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Contact Details:

Syngenta Group Recruitment Team

We think you need these skills to ace Senior Data Scientist: Predictive Science for Crop Protection

Machine Learning
Predictive Modelling
Data Science
Statistical Analysis
Data Integration
Collaboration
R&D Decision-Making