A leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources.

Syngenta

Company Description 
 
_Syngenta is leading science-based agtech company; dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. 
 
__Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture. 
 
__We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. 
 
__To support that challenge, we’re looking for a:_ Data Scientist 
 
Job Description 
 
Role purpose 
 


* Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources (trials, imagery, sensors, drones, satellite, …) to extract valuable insights
* Own end-to-end data analytics processes including extraction, processing, analysis, reporting, modeling, deployment, and visualization
* Develop and deploy automated data processing pipelines to streamline analysis workflows across multiple data sources
* Apply predictive analytics, machine learning, and AI techniques to create innovative solutions that drive business value
* Collaborate cross-functionally with Global and Regional stakeholders to deliver cost-effective, stable, and performant data science solutions aligned with business needs
* Stay current with emerging data analytics and ML technologies, implementing new methodologies to enhance existing processes
* Foster a culture of innovation and creativity while enabling data-driven decision making through advanced predictive modeling solutions 
 
 

Accountabilities 
 


* Maintain and enforce data science best practices while collaborating with Product Biology, Digital, Data Quality teams on Statistical, Data Science, Digital and ML projects.
* Drive continuous improvement of Data Science methods through Regional and Global team coordination, particularly in transitioning to big-data agricultural applications.
* Create comprehensive documentation and deliver training materials/courses for new tools and data projects to end users when needed
* Provide technical support and expertise in Data Analytics, Predictive Modeling, Data Science, Machine Learning, and AI across European, Regional, and Global teams.
* Transform stakeholder requirements into actionable solutions through use cases, test cases, and iterative development of algorithms and tools.
* Develop and validate features by consolidating internal/external databases and working closely with different stakeholders
* Maintain technical excellence through continuous learning in Data Science, Deep Learning, ML engineering, and AI while collaborating with MLOps/Product/Dev teams to deliver business impact 
 
 

Qualifications 
 
Knowledge, Skills, Education & Experience: 
 


* M.Sc. or Ph.D. in statistics, Applied mathematics, Data Science, Machine Learning, computer sciences, physics, or natural sciences (e.g., biology, chemistry, agronomy)
* Deep expertise in data analytics applied to biology, agronomy, and crop protection, with strong proficiency in Python programming and package development
* Comprehensive knowledge of Big Data technologies, cloud-based ecosystems, and database query languages (SQL), along with experience in version control systems
* Proven expertise in Machine/Deep Learning algorithms and related Python libraries, including model development, deployment, and monitoring
* Familiar with building and deploying data pipelines
* Proficiency in BI tools (Power BI, Spotfire, Tableau, or Qlik Sense), with emphasis on Power BI
* Demonstrated ability to extract meaningful insights from complex, noisy data while maintaining high accuracy standards
* Strong communication skills in English, with experience working effectively in diverse international teams
* Self-driven professional with strong problem-solving abilities, displaying autonomy and initiative while maintaining an agile mindset focused on stakeholder-oriented delivery 
 
 

Other Behaviours Critical For Role 
 


* Show autonomy, initiative, efficiency, problem solving 
 
 

Syngenta Leadership Capabilities 
 


* Execution and Results Orientation - Manages work performance to efficiently complete responsibilities. Demonstrates initiative and a strong commitment to achieving meaningful results, meeting or exceeding goals, and acting on opportunities to create value.
* Judgment - Analyze problems to make effective and sound decisions.
* Focuses on customers - Dedicated to meeting the expectations and requirements of internal and external customers.
* Manages for performance - Skillfully plans, organizes, and monitors performance to create value and achieve excellence in delivery.
* Engage and inspire - Fosters personal achievement and excellence. Encourage high standards of performance in others. 
 
 

Additional Information 
 


* Some travel, mostly in Europe
* Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.
* Advanced English is required, Knowledge of any other European Language is a plus
* The ideal candidate is based in Italy, but we accept applications from all over Europe, Africa and the Middle East, preferably with a time zone difference of no more than ± 2 hours from GMT+2. 
 
 

_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_

Data

Data Science

Machine learning

Data analytics

Project management

Python

Database

Algorithm

Deep Learning

Support

Analysis

Testing

Problem solving

Tableau

Version control

Software Development

Agile

Digital

Project documentation

Statistics

Mathematics

Technical Support

Big Data

Data Pipelines

Innovation

Communication Skills

Power BI

Qlik Sense

Predictive modeling

Cloud Systems

Statistical Analysis

Data Visualization

Data processing

MLOps

Data Quality

Data Scientist (remote Based, Italy, or anywhere in Europe, Africa and Middle East)