Data Science and AI Delivery Lead for Commercial Domain

Company Description

Syngenta Group is one of the world’s biggest agricultural technology companies, with roots going back more than 250 years. With more than 59,000 employees, operating in more than 100 countries, the company strives to transform agriculture with science-driven, technological innovations to deliver high productivity and high-quality food while fighting climate change and restoring nature. Syngenta Group is working with farmers to enable Regenerative Agriculture - an outcome-based food production system that nurtures and restores soil health, protects the climate and water resources, and enhances farms' productivity and profitability. The company is registered in Shanghai, China, with its management headquarters in Switzerland, and is composed of four business units: Syngenta Crop Protection, Syngenta Seeds, ADAMA, and Syngenta Group China, which collectively serve customers worldwide.

Job Description

We are seeking aData Science and AI Delivery Leadto support ourCommercial Domains. This role involves identifying and developing Data Science & Artificial Intelligence solutions, including AI and GenAI, to improve our commercial processes and data products.

The successful candidate will lead a team of Data Scientists, ML Ops, Engineers, and Business Analysts, enhancing our technological foundation through advanced AI/Gen AI understanding and implementation to expand regional and global capabilities.

Responsibilities

• Report to the Commercial Domain Lead from the CDO Organization, acting as the main contact for Data Science and AI initiatives, leading AI transformation, managing senior stakeholders, and building an experienced AI solutions team.
• Maintain a strong understanding of Data Science and GenAI advancements, including deployment technologies, edge computing, and quantum computing, to identify strategic opportunities in digital and agricultural sectors.
• Utilize AI and data analytics to enhance existing solutions and develop innovative AI applications that redefine core business areas.
• Inspire and lead multidisciplinary teams, fostering a culture of innovation and knowledge sharing to position the organization at the forefront of agri-tech.
• Develop and implement a cutting-edge Data Science and AI integration framework that incorporates Advanced Analytics and LLMs into production systems, improving efficiency, scalability, and user experience.
• Explore the potential of cloud computing to extract actionable insights, enhancing enterprise and digital data initiatives.
• Design and implement cybersecurity measures to protect sensitive data and ensure the integrity of solutions.

Qualifications and Experience

• Extensive experience in Data Science, AI, ML Ops, AI engineering, and team leadership across cross-functional teams and regions.
• Strong communication skills and experience managing senior stakeholders.
• Proactive, mentoring, and coaching mindset.
• Process improvement and strategic thinking abilities.
• Proficiency in Data Science and GenAI skills, including:
• Statistics and data science algorithms
• Programming in Python and AI/ML libraries
• Expertise in NLP tools such as TensorFlow, spaCy, NLTK
• Data preprocessing, cleaning, and transformation
• Transfer learning with pre-trained LLMs
• Mathematics and data mining fundamentals
• Familiarity with Cloud formation and AWS Stack (preferred)

Additional Information

Based in Didsbury, near Manchester, our Global Operations Centre supports worldwide operations, ensuring growers globally have access to the right products at the right time. We offer a dynamic, agile, and inclusive work environment with comprehensive benefits, including a pension scheme, bonus, private medical & life insurance, flexible working options, and up to 31.5 days of annual leave. Join us to contribute to impactful work in an international setting, with access to ongoing training and development opportunities.

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