Syngenta is a global leader in agriculture; rooted in science and 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, the Vegetables and Flowers team is currently seeking a Data Science & Data Visualization Intern in Durham, NC or Greensboro, NC. As a Data Science & Data Visualization Intern you will assist the Applied Data Science ‘Pipeline Strategy, operations and Intelligence’ team in vegetables and flowers. The intern is expected to run data analysis and visualization/reporting using the ever-evolving genotype and operational data.

As an intern at Syngenta, you have the opportunity to work alongside some of the brightest minds in the industry, and work on real projects finding real solutions. Work with us and you’ll get:

• Competitive wages
• Ongoing career development resources 
• The opportunity to work on meaningful, innovative projects that solve problems
• A culture that celebrates diversity & inclusion, promotes professional development, and offers flexible work options to meet both your work and personal needs

Estimated Duration: May 2024 – August 2024

You will:

• Collaborate with Applied Genetic Scientists in Vegetables & Flowers, genotyping lab, PPP and R&D IT team members to access the data pertaining to
• Planning data (demand) in planning tools
• Submission data (logistic data) to lab
• Actual data received from lab
• Manage and monitor daily activities of data received from lab
• Create robust direct link to source data with zero manual intervention
• Prepare Tableau reports and automate reporting on the current genomic resources
• Communicate effectively with colleagues regarding the status of AGS related data for all vegetable crops
• Dashboards: One stop solution for each of the vegetable crops (both high and detailed level)
• Generic view across vegetables
• Current genomic resources
• TI- Tracking

• A High School Diploma or equivalent
• Enrollment in a Bachelor’s degree or Master’s program in Data Science or a closely related field of study
• Knowledge of data retrieval (strong SQL skills), data management across multiple sources and locations
• Ability to use Python wherever needed
• Detail oriented and have accurate record keeping skills with creativity.
• Experience in Tableau or related dash-board tools
• Ability to work independently and autonomously without direct supervision
• Strong statistical program skills (SAS, R, JMP, etc.)

What you might also contribute to the team:

• Proactive, constructive written and oral communication skills
• Ability to work in cross-functional teams
• Experience working in a greenhouse or biological laboratory
• Research experience working with large data
• Strong computer skills (e.g Microsoft Excel, Word, PowerPoint, Smartsheet)
• Ability to be discreet with confidential information
• Ability to work on 2 or more projects at the same time

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.
Family and Medical Leave Act (FMLA) (http://www.dol.gov/whd/regs/compliance/posters/fmla.htm)
Equal Employment Opportunity Commission's (EEOC)(http://webapps.dol.gov/elaws/firststep/poster_direct.htm)
Employee Polygraph Protection Act (EPPA)(http://www.dol.gov/whd/regs/compliance/posters/eppa.htm)

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