Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Science and Machine Learning Lead

Syngenta Group
Bracknell
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Analyst Insurance

Data Science Lead, Research Analytics

Lead Machine Learning Engineer - Databricks experience

Lead Machine Learning Engineer - Databricks experience

Lead Machine Learning Engineer - Databricks experience

Lead Machine Learning Engineer - Databricks experience

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 a top 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: https://www.syngenta.com/careers/working-syngenta/diversity-and-inclusion

 

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.

Pre-Employment Checks for AI Jobs: DBS, References & Right-to-Work and more Explained

The artificial intelligence sector in the UK is experiencing unprecedented growth, with companies across industries seeking talented professionals to drive digital transformation. However, securing a position in this competitive field involves more than just demonstrating technical expertise. Pre-employment checks have become an integral part of the hiring process for AI jobs, ensuring organisations maintain security, compliance, and trust whilst building their teams. Whether you're a data scientist, machine learning engineer, AI researcher, or technology consultant, understanding the pre-employment screening process is crucial for navigating your career journey successfully. This comprehensive guide explores the various types of background checks you may encounter when applying for AI positions in the UK, from basic right-to-work verification to enhanced security clearance requirements.