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- Tasks: Create and validate predictive models for crop protection research.
- Company: Leading agricultural company in Bracknell with a focus on innovation.
- Benefits: Flexible working environment and extensive benefits package.
- Why this job: Make a real impact in agriculture using data-driven insights.
- Qualifications: Ph.D. in a related science and strong Python modelling skills.
- Other info: Collaborative projects with domain experts in a dynamic setting.
The predicted salary is between 36000 - 60000 £ per year.
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
- 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.
Data-Driven Agricultural Modelling Scientist in Bracknell employer: Syngenta
Contact Detail:
Syngenta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Driven Agricultural Modelling Scientist in Bracknell
✨Tip Number 1
Network like a pro! Reach out to professionals in the agricultural modelling field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and any relevant projects you've worked on. This is a great way to demonstrate your data-driven modelling expertise and make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python libraries and modelling techniques. We recommend practising common interview questions related to data science and agriculture to show you’re ready to hit the ground running.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you along the way, and applying directly can sometimes give you an edge over other candidates. Let’s get you that Modelling Scientist role!
We think you need these skills to ace Data-Driven Agricultural Modelling Scientist in Bracknell
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Ph.D. and any relevant experience in data-driven modelling. We want to see how your skills align with the role, so don’t be shy about showcasing your Python expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about agricultural modelling and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Collaborative Experience: Since this role involves working closely with domain experts, mention any past projects where you collaborated with others. We love seeing teamwork in action, so highlight those experiences!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Syngenta
✨Know Your Models Inside Out
Make sure you can discuss your previous modelling projects in detail. Be prepared to explain the methodologies you used, the challenges you faced, and how you validated your models. This shows your depth of knowledge and practical experience.
✨Brush Up on Python Libraries
Since the role requires strong data-driven modelling skills with Python, review key libraries like NumPy, pandas, and scikit-learn. Be ready to discuss how you've used these tools in past projects, as this will demonstrate your technical proficiency.
✨Collaborative Spirit is Key
This position involves working closely with domain experts, so be prepared to talk about your teamwork experiences. Share examples of how you've successfully collaborated on projects, highlighting your communication skills and ability to integrate feedback.
✨Understand the Company’s Vision
Research the agricultural company and its focus areas, especially in crop protection R&D. Showing that you understand their goals and how your skills align with their mission will make a strong impression and demonstrate your genuine interest in the role.
