At a Glance
- Tasks: Build predictive models and apply GenAI methods to solve complex biological questions.
- Company: Join Syngenta UK, a leader in Crop Protection R&D with a global analytics team.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment focused on responsible AI initiatives and career advancement.
- Why this job: Make a real impact in agriculture by developing innovative AI solutions.
- Qualifications: Experience in data science and a passion for biology and environmental sciences.
The predicted salary is between 60750 - 74250 £ per year.
Syngenta UK is seeking a Mid Data Scientist – Gen AI to join our global analytics team at Jealott's Hill.
You will build predictive models and apply Gen AI methods to translate complex biological questions into practical analytical solutions across biology, chemistry and environmental sciences.
You will prototype Gen AI applications, develop knowledge graphs and agentic workflows, and contribute to responsible AI initiatives while delivering value in Crop Protection R&D.
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GenAI Data Scientist II for Crop Protection R&D employer: Syngenta
Syngenta is an exceptional employer, offering a vibrant work culture at the Jealott's Hill site where innovation thrives. Employees benefit from extensive professional development opportunities, a supportive team environment, and a commitment to work-life balance, making it an ideal place for those looking to make a meaningful impact in the field of metabolomics.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Data Scientist II for Crop Protection R&D
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Syngenta!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like GenAI Data Scientist II for Crop Protection R&D at Syngenta.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Syngenta.
✨Apply Directly through Our Website
When you find a suitable opening like GenAI Data Scientist II for Crop Protection R&D at Syngenta, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace GenAI Data Scientist II for Crop Protection R&D
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Syngenta, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Syngenta. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Syngenta
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Syngenta!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
