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- Tasks: Lead a team to develop AI solutions for commercial processes and enhance data products.
- Company: Join Syngenta Group, a global leader in agricultural technology with over 250 years of innovation.
- Benefits: Enjoy flexible working, extensive leave, and comprehensive health benefits in a dynamic environment.
- Why this job: Be part of impactful work that drives sustainability and innovation in agriculture on a global scale.
- Qualifications: Experience in Data Science, AI, and team leadership; strong communication and strategic thinking skills required.
- Other info: Work from our Global Operations Centre in Didsbury, near Manchester, with a focus on learning and development.
The predicted salary is between 43200 - 72000 £ per year.
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.
We are seeking a Data Science and AI Delivery Lead to support our Commercial Domains by developing Data Science & AI solutions, including AI and GenAI, to enhance commercial processes for existing and new data products and services. In this role, you will lead a team of Data Scientists, ML Ops, Engineers, and Business Analysts, advancing our technological foundation through AI/GenAI expertise to strengthen and expand regional and global capabilities.
Responsibilities include:
- Reporting to the Commercial Domain Lead from the CDO Organization, acting as the main contact for Data Science and AI initiatives, leading organizational AI transformation, managing senior stakeholders, and building an experienced AI solutions team.
- Staying current with Data Science and GenAI advancements, including deployment, edge computing, and quantum computing, to identify strategic opportunities in digital and agricultural sectors.
- Utilizing AI and data analytics to improve existing solutions and create innovative AI applications that redefine business models.
- Inspiring and leading teams of Business Analysts, Data Scientists, GenAI developers, Solution designers, and AI Engineers, fostering a culture of innovation and knowledge sharing.
- Developing and implementing a cutting-edge Data Science and AI integration framework, incorporating Advanced Analytics and LLMs into production systems for improved efficiency, scalability, and user experience.
- Exploring cloud computing to extract insights from enterprise and digital data, driving breakthrough initiatives.
- Designing and implementing cybersecurity measures to protect sensitive data and ensure solution integrity.
Qualifications and Experience:
- Extensive experience in Data Science, AI, ML Ops, AI engineering, and team leadership across cross-functional and regional teams.
- Strong communication skills and experience managing senior stakeholders.
- Proactive, mentoring, and coaching mindset.
- Process improvement skills and strategic thinking.
- Proficiency in Data Science and GenAI tools and techniques, including:
- Statistics and algorithms
- Python programming and AI/ML libraries
- NLP tools like TensorFlow, spaCy, NLTK
- Data preprocessing, cleaning, and transformation
- Transfer Learning for fine-tuning pre-trained LLMs
- Mathematics and data mining fundamentals
Based in Didsbury, near Manchester, our Global Operations Centre supports worldwide operations, providing a dynamic, agile, and inclusive work environment. Extensive benefits including pension, bonus, private medical & life insurance. Flexible and hybrid working options, depending on role requirements. Up to 31.5 days of annual leave. Contribute to impactful work in an international setting with a focus on learning and development. Syngenta is ranked as a top employer and number 1 in agriculture by Science Journal.
Data Science and AI Delivery Lead for Commercial Domain employer: Syngenta Group
Contact Detail:
Syngenta Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science and AI Delivery Lead for Commercial Domain
✨Tip Number 1
Familiarise yourself with the latest advancements in Data Science and AI, particularly in the agricultural sector. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of Data Science and AI, especially those who have experience in commercial domains. Attend industry events or webinars to connect with potential colleagues and gain insights into the company culture at Syngenta.
✨Tip Number 3
Showcase your leadership skills by discussing any previous experiences where you led a team or project. Highlight how you inspired innovation and collaboration, as this is crucial for the role of Data Science and AI Delivery Lead.
✨Tip Number 4
Prepare to discuss specific examples of how you've utilised AI and data analytics to drive business improvements. Being able to articulate your past successes will demonstrate your capability to contribute effectively to Syngenta's goals.
We think you need these skills to ace Data Science and AI Delivery Lead for Commercial Domain
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Data Science and AI Delivery Lead position. Make sure you understand the responsibilities and qualifications required, as this will help you tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your extensive experience in Data Science, AI, and team leadership. Use specific examples to demonstrate how your skills align with the requirements outlined by Syngenta Group.
Showcase Technical Skills: Make sure to detail your proficiency in relevant tools and techniques such as Python programming, AI/ML libraries, and cloud platforms like AWS. Highlight any experience with NLP tools and data preprocessing, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for agricultural technology and innovation. Mention how you can contribute to Syngenta's mission of transforming agriculture through AI solutions.
How to prepare for a job interview at Syngenta Group
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Data Science, AI, and ML Ops during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies, especially in commercial settings.
✨Demonstrate Leadership Skills
As a Data Science and AI Delivery Lead, you'll be managing teams. Share examples of how you've led cross-functional teams, mentored colleagues, and driven successful outcomes in previous roles.
✨Stay Current with Industry Trends
Familiarise yourself with the latest advancements in Data Science and GenAI. Be ready to discuss how these trends can be applied to enhance agricultural processes and drive innovation within the company.
✨Prepare for Stakeholder Management Questions
Given the role's emphasis on managing senior stakeholders, think about your communication strategies. Prepare to share experiences where you've effectively engaged with stakeholders to align on project goals and expectations.
