At a Glance
- Tasks: Analyse historical biological data to uncover insights for crop protection solutions.
- Company: Join Syngenta, a leader in agricultural innovation with a global impact.
- Benefits: Enjoy flexible working, extensive training options, and a generous benefits package.
- Other info: Collaborate globally and engage in exciting digital transformation projects.
- Why this job: Make a real difference in sustainable agriculture while advancing your data science skills.
- Qualifications: Postgraduate level data science knowledge with experience in Python and machine learning.
The predicted salary is between 49500 - 60500 £ per year.
Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture!
We have an exciting opportunity for Data Scientists to join our Global Data Analytics & Predictive Science Team in Product Biology department. Within these roles you will work on Syngenta historical biological data to uncover patterns and deliver new data-driven insights for active ingredient development across R&D functions. You will be asked to analyse and interpret the outcome of scientific experiments with your analytical skills as well as machine learning approaches. Your work will bring forward our understanding of biological performance in crop protection and guide design, optimization and development of novel crop protection solutions.
- Driving historical data analysis of biological field trials by identifying patterns and analyzing the impact of key factors including product formulations, rates, mixtures, agricultural practices, and environmental conditions on product performance.
- Supporting domain experts in understanding product performance and identifying analytics opportunities to drive business value.
- Contributing to strategic business initiatives across Crop Protection R&D by interpreting physical chemistry, biokinetic, formulation, marketing and environmental data to support decision making and design laboratory, glasshouse and field trials.
- Guiding technical managers in designing field trials aimed at validating scientific hypotheses and model predictions.
- Working with R&D IT and software developers to improve data-models integrations and to deploy applications tailored on shareholders' needs.
- Monitoring and exploring new modelling approaches, analytical tools and methodologies.
- Engaging with high-priority digital transformation projects to understand opportunities to accelerate the impact of data science for predictive field trialing.
- Working with colleagues and external collaborators understanding their complementary capabilities and integrating them into projects and initiatives.
Qualifications
- Strong foundations in data science at postgraduate level with applications in natural sciences (e.g. biology, ecology, environmental sciences).
- Proven experience in the use of the main data-science, -analytics, modelling and visualization Python libraries, including machine learning and deep learning ones.
- Scientific domain knowledge in related fields such as environmental sciences or biology.
- Prior experience in developing machine-learning models relevant to biological or crop protection outcomes.
- Hands-on experience leveraging generative AI (genAI) approaches for data exploration, model development, or research acceleration is a plus.
- Knowledge of data analysis and extracting data insights and new understanding, while communicating scientific and data concepts to specialist and non-specialist audiences.
- Adaptability to different business challenges and data types/sources and to learn and utilize a range of different analytical tools and methodologies.
- Ability to visualize and story-telling with data to communicate results to shareholders with different levels of technical proficiency.
- Analytical problem-solving skills with innovative thinking, while effectively collaborating across diverse teams and managing multiple priorities in a multicultural scientific environment.
You may be required to travel to international R&D locations and to work with collaborators globally.
What we offer
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance (depends on the contracting country).
- Flexible working.
- Learning culture and a wide range of training options.
Syngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Magazine for the 8th consecutive year. Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Research Data Scientist | Remote in Bracknell 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 Research Data Scientist | Remote in Bracknell
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We think you need these skills to ace Research Data Scientist | Remote in Bracknell
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!
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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.
