Job Description
We are looking for aData Science and AI Delivery Leadto support ourCommercial Domainsby identifying and developing of Data Science & Artificial Intelligence solutions using AI and GenAI that enhance Commercial processes for both existing and new Data products and services.
In this role, you’ll be leading a team of Data Scientists, ML Ops, Engineers and Business Analysts, deepening our technological foundation through advanced understanding and implementation of AI/Gen AI concepts to strengthen and expand the capabilities of regional and global Commercial Data Science & AI.
Responsibilities/accountabilities will also include;
- Reporting to Commercial Domain Lead from CDO Organization, be the point of contact for Data Science and AI initiatives, lead the AI Transformation at the organization, manage Senior Stakeholders, lead and build an experienced team for AI Solutions.
- Maintain a strong understanding of Data Science and GenAI advancements, including deployment technologies, edge computing, and quantum computing, to identify and capitalize on game-changing opportunities in the digital and agricultural sector.
- Using AI and data analytics to enhance existing solutions and forge groundbreaking AI innovations that redefine our core businesses.
- Inspire and lead teams of Business Analysts, Data Scientists, Gen AI developers, Solution designers, and AI Engineers, fostering a culture of innovation and knowledge sharing that propels the organization to the forefront of agri-tech.
- Develop and implement a cutting-edge, Data Science and AI integration framework that seamlessly incorporates Advanced Analytics and LLMs into production systems, significantly improving efficiency, scalability, and user experience across diverse applications.
- Define the potential of cloud computing to extract actionable insights, dramatically boosting our Enterprise and Digital data, promoting breakthrough initiatives.
- Design and implement robust cybersecurity measures to safeguard sensitive data, ensuring the integrity and reliability of our solutions.
Qualifications and required experience
- Solid experience with Data Science and AI, ML Ops, AI Engineer, and Team leadership, managing cross-functional collaboration across teams and regions.
- Effective communication and senior stakeholder management.
- Proactive personality with a mentoring and coaching approach.
- Process improvement and strategic mindset.
- Experienced on Data Science and Gen AI Skills:
- Statistics and data science algorithms
- Programming: Proficiency in Python and AI/ML libraries
- NLP: Expertise in tools like TensorFlow, spaCy, NLTK
- Data Management: Preprocessing, cleaning, and transformation
- Transfer Learning: Refining pre-trained LLMs for specific needs
- Analytics: strong foundation in mathematics and data mining
- Familiarity with Cloud formation and AWS Stack are preferred
Additional Information
Based in Didsbury, near Manchester, our Global Operations Centre is a local hub for worldwide operations, ensuring growers, globally, have access to the right product at the right time. You will find a dynamic and agile working environment, with a diverse and inclusive culture.
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
- Add info on hybrid working options if available for role
- Flexible working, dependent on role requirements
- Up to 31.5 days annual holiday.
- We offer a position which contributes to valuable and impactful work in a stimulating and international environment.
- Learning culture and wide range of training options.
Syngenta has been ranked as atop 5 employerand number 1 in agriculture by Science Journal.
