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- Tasks: Uncover patterns in biological data to drive innovative 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.
- Why this job: Make a real difference in sustainable agriculture while advancing your career.
- Qualifications: Postgraduate data science background with experience in biology and machine learning.
- Other info: Collaborate globally and engage in high-priority digital transformation projects.
The predicted salary is between 36000 - 60000 £ 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. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group. 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!
About the role
We have an exciting opportunity for a Machine Learning Scientist to join our Digital Biology Group in Crop Protection Research and Development. Within this role you will work on Syngenta 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.
Key responsibilities will include:
- Using exploratory analytical approaches across a range of biological lab, glasshouse & field trial data to identify the key factors impacting on performance on active ingredients.
- Interacting with domain experts to understand scientific questions, our scientific protocols and identify analytics opportunities to drive business value.
- Contributing to strategic business initiatives across Crop Protection data to support decision making and collaborating to design laboratory, glasshouse and field trials.
- Collaborating and influencing the design of Research Biology capabilities to support predictive modelling activities.
- Working with R&D IT and software developers to improve predictive model deployment applications tailored on stakeholder 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 biology studies.
- Working with colleagues and external collaborators understanding their complementary capabilities and integrating them into projects and initiatives.
What we are looking for:
- Strong foundations in data science at postgraduate level with some experience in natural sciences (e.g. biology, ecology, environmental sciences).
- Extensive experience in the use of the main data-science, analytics, modelling and visualization Python libraries (i.e Pandas/Polars, SciPy, MatPlotLib).
- Scientific domain knowledge in related fields such as biology or environmental sciences.
- Prior experience in developing machine-learning models relevant to biological outcomes.
- 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-tell 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.
Additional Information:
We will consider candidates based at additional locations within Europe. You may be required to travel to international R&D locations and to work with collaborators globally. Due to exceptionally high interest in this position, we will only consider applications that include: (1) a CV; (2) a cover letter explaining your motivation and suitability for the role; (3) a one-page document in which you tell us how (with which tools and algorithms, following which strategy) you would start exploring a 100MB CSV dataset of efficacy field trial results for a novel crop protection product including assessments for multiple crop types, trial sites and weather conditions. Please upload your CV, your cover letter and the one-page document in separate files named "CV_###", "Cover_Letter_###", and "Answer_###", replacing '###' with your family name.
What we offer:
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance (depends on the contracting country).
- Flexible working.
- A position which contributes to valuable and impactful work in a stimulating and international environment.
- 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.
Machine Learning Scientist in Bracknell employer: Syngenta
Contact Detail:
Syngenta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist in Bracknell
✨Tip Number 1
Get your networking game on! Connect with professionals in the agricultural and data science fields on platforms like LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to reach out for informational chats. You never know who might have a lead on that perfect Machine Learning Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to biological data or crop protection. Use GitHub or a personal website to display your work. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python libraries and how you've applied them in real-world scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both specialists and non-specialists.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your relevant experience and enthusiasm for the role. Remember, we’re looking for candidates who are passionate about advancing agriculture and making a difference!
We think you need these skills to ace Machine Learning Scientist in Bracknell
Some tips for your application 🫡
Read the Job Description Carefully: Before you start your application, take a good look at the job description. Make sure you understand what we're looking for in a Machine Learning Scientist and how your skills align with our needs.
Craft a Tailored Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background makes you a perfect fit. Don't forget to mention specific experiences that relate to the responsibilities listed.
Show Your Analytical Skills: In your one-page document, be clear and concise about how you'd tackle the dataset we mentioned. Highlight the tools and algorithms you’d use, and outline your strategy. This is your opportunity to showcase your analytical thinking!
Follow Our Application Guidelines: Make sure to upload your CV, cover letter, and one-page document as separate files with the correct naming format. We love organisation, and it shows us you can follow instructions—an important skill for any role!
How to prepare for a job interview at Syngenta
✨Know Your Data Science Tools
Make sure you’re well-versed in the main data science libraries like Pandas, SciPy, and MatPlotLib. Brush up on how to use these tools effectively, as you’ll likely be asked about your experience with them during the interview.
✨Understand the Role of Machine Learning
Be prepared to discuss how machine learning can be applied to biological data. Think about specific examples from your past work where you developed models that led to actionable insights, and be ready to explain your thought process.
✨Communicate Clearly
You’ll need to convey complex scientific concepts to both specialists and non-specialists. Practice explaining your previous projects in simple terms, focusing on the impact of your findings and how they relate to crop protection.
✨Show Your Collaborative Spirit
Syngenta values teamwork, so be ready to share experiences where you’ve worked with diverse teams. Highlight how you’ve collaborated with domain experts or contributed to strategic initiatives, showcasing your adaptability and problem-solving skills.