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, biodiversity, and enhances farms' productivity and profitability. Registered in Shanghai, China, with its management headquarters in Switzerland, Syngenta draws strength from its four business units: Syngenta Crop Protection (Switzerland), Syngenta Seeds (USA), ADAMA (Israel), and Syngenta Group China, providing industry-leading solutions worldwide.
Job Description
We are seeking a Data Science and AI Delivery Lead to support our Commercial Domains. The role involves identifying and developing Data Science & Artificial Intelligence solutions, including GenAI, to optimize commercial processes and enhance data products and services.
As a leader, you will manage a team of Data Scientists, ML Ops, Engineers, and Business Analysts, advancing our technological foundation through AI/Gen AI expertise to strengthen and expand regional and global capabilities.
Key Responsibilities:
- Serve as the primary contact for Data Science and AI initiatives, leading AI transformation efforts, managing senior stakeholders, and building a high-performing team.
- Stay updated on Data Science and GenAI advancements, deployment technologies, edge computing, and quantum computing to leverage new opportunities in digital and agricultural sectors.
- Use AI and data analytics to improve current solutions and drive innovative AI projects that reshape core business areas.
- Inspire and lead multidisciplinary teams, fostering a culture of innovation and knowledge sharing.
- Develop and implement a cutting-edge Data Science and AI integration framework, incorporating Advanced Analytics and LLMs into production systems for better efficiency and scalability.
- Explore cloud computing potentials to enhance data insights and promote breakthrough initiatives.
- Design and implement cybersecurity measures to protect sensitive data and ensure solution integrity.
Qualifications and Experience:
- Proven experience in Data Science, AI, ML Ops, AI Engineering, and team leadership across regions.
- Excellent communication and stakeholder management skills.
- Proactive with mentoring and coaching abilities.
- Strategic thinker with process improvement skills.
- Strong expertise in Data Science and GenAI, including:
- Statistics and algorithms
- Python programming and AI/ML libraries
- NLP tools like TensorFlow, spaCy, NLTK
- Data preprocessing and transformation
- Transfer learning for LLMs
- Mathematics and data mining
- Familiarity with Cloud platforms and AWS is preferred
Additional Information:
Based in Didsbury, near Manchester, our Global Operations Centre supports worldwide operations, ensuring timely access to products for growers. We offer a dynamic, inclusive, and agile work environment, with extensive benefits including a pension, bonus, private medical & life insurance, flexible working options, up to 31.5 days of holiday, and training opportunities. Join us in impactful, international work in a top-ranked employer in agriculture.
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