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- Tasks: Lead innovative data science and ML projects to transform agriculture.
- Company: Join Syngenta Group, a global leader in agricultural technology with 60,000 employees worldwide.
- Benefits: Enjoy flexible working, generous holidays, and an extensive benefits package including medical insurance.
- Why this job: Make a real-world impact in sustainable agriculture while working in a dynamic, international team.
- Qualifications: MSc/PhD in Data Science, strong ML experience, and leadership skills required.
- Other info: Hybrid work model at a scenic research centre, with a commitment to diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
Company Description
Syngenta Group, a global leader in agricultural technology and innovation, employs 60,000 people across more than 100 countries to transform agriculture through tailor-made solutions for farmers, society, and our planet. Our diverse portfolio encompasses seeds, crop protection, nutrition products, agronomic solutions, and digital services, all designed to help farmers produce healthy food, feed, fiber, and fuel while conserving natural resources and protecting the environment. Our mission is to address critical challenges such as climate change and food security through sustainable practices and cutting-edge solutions, while safeguarding the planet\’s resources.
Job Description
Are you ready to pioneer the next generation of data science and machine learning solutions in agriculture? We\’re seeking an exceptional Data Science and Machine Learning Lead to drive innovation at the intersection of technology and sustainable agriculture.
Shape the Future of Agricultural working with and through a dynamic team of data scientists and ML engineers in developing cutting-edge solutions that transform how we approach global agriculture. You\’ll be the strategic bridge between our Chief Data Officer organization and key business functions, architecting ML solutions that drive real-world impact across R&D, Production & Supply, Finance, and Commercial operations.
What You\’ll Drive:
- Design and implement enterprise-scale ML solutions across multiple cloud platforms
- Establish technical standards and MLOps best practices that set the foundation for scalable AI across the organization
- Build and mentor high-performing teams while fostering a culture of innovation
- Develop reusable accelerators and templates that amplify our data science capabilities
- Partner with global stakeholders to drive ML maturity across the organization
What we are looking for:
- MSc/PhD in Data Science with an engineering background
- Extensive experience in data science and machine learning with proven leadership experience
- Expert proficiency in Python, R, and modern ML platforms
- Proven success delivering enterprise ML solutions
- Strong background in MLOps, cloud platforms, and ML governance
- Experience in agriculture or life sciences is highly valued
Additional Information
Our site
Hybrid: Flexible on-site presence (1-2 days per week) at our Jealott\’s Hill International Research Centre UK , which is situated in pleasant semi-rural surroundings between Bracknell and Maidenhead and is the place of work for approximately 800 Syngenta scientists and support staff. Jealott’s Hill is one of the main global research and development sites and key activities include research into discovery of new active ingredients, new formulation technologies, product safety and technical support of our product range.
What we offer
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
- Up to 31.5 days annual holiday, plus 8 UK bank holidays.
- Flexible working: We\’re committed to supporting flexible working arrangements where business needs allow. We believe in creating an environment that enables our people to balance their work and personal lives effectively while delivering excellence in their role. Please discuss any flexibility you may require with the talent partner, if you are selected for interview.
- We offer a position which contributes to valuable and impactful work in a stimulating and international environment.
- The chance to work as part of a global team to address the current and future needs of the agricultural sector.
- Learning culture and wide range of training options.
Syngenta has been ranked as atop 5 employer and number 1 in agriculture by Science Journal.
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. Learn more about our D&I initiatives here:
Jealott’s Hill has Disability Confident certification.
We are committed to making all stages of our recruitment process accessible to all candidates and our Jealott’s Hill site are a Disability Confident Level 2 Employer. Please let us know if you need any assistance or reasonable adjustments throughout your application and we will do everything we can to support you.
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Data Science and Machine Learning Lead employer: Syngenta
Contact Detail:
Syngenta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science and Machine Learning Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data science and machine learning, especially as they relate to agriculture. Understanding how these technologies can be applied to solve real-world problems in this sector will give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the agricultural technology space. Attend industry conferences or webinars where you can meet potential colleagues and learn about the challenges they face. This insight can help you tailor your approach and demonstrate your understanding of the field.
✨Tip Number 3
Showcase your leadership skills by discussing any previous experience where you've built or mentored teams. Highlighting your ability to foster a culture of innovation will resonate well with the hiring team, as they are looking for someone to lead and inspire.
✨Tip Number 4
Prepare to discuss specific examples of enterprise-scale ML solutions you've implemented in the past. Be ready to explain the impact these solutions had on the organisation, as this will demonstrate your capability to drive real-world results in a similar role.
We think you need these skills to ace Data Science and Machine Learning Lead
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Science and Machine Learning Lead position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your extensive experience in data science and machine learning. Provide specific examples of enterprise ML solutions you've delivered and any leadership roles you've held, particularly in agriculture or life sciences.
Showcase Technical Skills: Clearly outline your proficiency in Python, R, and modern ML platforms. Mention any relevant projects or achievements that demonstrate your technical expertise and familiarity with MLOps and cloud platforms.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for sustainable agriculture and innovation. Discuss how you can contribute to Syngenta's mission and culture, and why you're excited about the opportunity to lead a dynamic team in this field.
How to prepare for a job interview at Syngenta
✨Understand the Company’s Mission
Before your interview, make sure you’re familiar with Syngenta Group's mission to address climate change and food security. This will help you align your answers with their goals and demonstrate your commitment to sustainable practices in agriculture.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, R, and modern ML platforms in detail. Highlight specific projects where you’ve successfully implemented enterprise-scale ML solutions, as this will showcase your technical proficiency and leadership capabilities.
✨Emphasise Team Leadership Skills
As a Data Science and Machine Learning Lead, you’ll need to build and mentor high-performing teams. Share examples of how you’ve fostered a culture of innovation and collaboration in previous roles, as this will resonate well with the interviewers.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to drive ML maturity across an organisation. Think of examples from your past experiences where you’ve tackled challenges in data science or machine learning, particularly in agriculture or life sciences.
