GenAI Data Scientist II β€” AI for Crop Protection Insights

GenAI Data Scientist II β€” AI for Crop Protection Insights

Full-Time 60750 - 74250 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design ML solutions and GenAI workflows for crop protection insights.
  • Company: Join Syngenta Crop Protection, a leader in agricultural innovation.
  • Benefits: Competitive salary, global collaboration, and opportunities for professional growth.
  • Other info: Work in a dynamic, international team focused on meaningful R&D.
  • Why this job: Make a real impact on sustainable agriculture with cutting-edge AI technology.
  • Qualifications: Experience in data science and machine learning is essential.

The predicted salary is between 60750 - 74250 Β£ per year.

Syngenta Crop Protection, part of Syngenta Group, invites a Mid Data Scientist - Gen AI to join its global analytics team at Jealott’s Hill, UK.

You will design ML solutions and Gen AI workflows, collaborating with biology, chemistry and environmental science experts to translate complex questions into practical analyses.

You will build predictive models, develop data pipelines, and explore responsible AI in a highly international setting, contributing to meaningful R&D initiatives.

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GenAI Data Scientist II β€” AI for Crop Protection Insights 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 GenAI Data Scientist II β€” AI for Crop Protection Insights

Machine Learning (ML)
GenAI Workflows
Predictive Modelling
Data Pipeline Development
Collaboration with Cross-Disciplinary Teams
Analytical Skills
Problem-Solving Skills