Company Description

Syngenta Seeds is one of the world’s largest developers and producers of seed for

farmers, commercial growers, retailers and small seed companies. Syngenta seeds

improve the quality and yields of crops. High-quality seeds ensure better and more

productive crops, which is why farmers invest in them. Advanced seeds help mitigate

risks such as disease and drought and allow farmers to grow food using less land, less

water and fewer inputs.

Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including

innovative hybrid varieties and biotech crops that can thrive even in challenging growing

conditions.

Syngenta Seeds is headquartered in the United States.

Job Description

Role purpose

As a Data Science Summer Intern, you will support Syngenta’s machine learning applications for plant breeding decision making. You will perform exploratory data science tasks—querying, cleaning, and engineering features from real-world datasets—and build, tune, and evaluate predictive models. You will use Python packages such as LightGBM, XGBoost, sklearn, and pyspark; and write unit tests with pytest and unittest. You will also work with SQL and contribute to code that is tested, maintained, and deployed in a cloud-based production environment. This internship provides the opportunity to apply your analytical and technical skills, collaborate with experienced data scientists, and present your findings to diverse stakeholders.

Accountabilities

Query, clean, and preprocess large datasets from diverse sources
Engineer features and build predictive models using LightGBM, XGBoost, sklearn, and pyspark in Python, as well as SQL
Tune model hyperparameters and evaluate model performance
Write unit tests for data science and machine learning code using pytest and unittest
Collaborate in deploying machine learning code to production cloud environments
Document and present analysis, findings, and recommendations to technical and non-technical audiences
Work closely with data scientists, engineers, and stakeholders to understand project requirements
Participate in team meetings and contribute to project planning

Location: Hybrid Role in Durham/Research Triangle Park, NC or Slater, Iowa

Qualifications

Required Qualifications

Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
Completed coursework in data science, statistics, and linear algebra
Proficient in Python and SQL for data analysis and modeling
Experience working with LightGBM, XGBoost, sklearn, pyspark, and pytest
Experience with data cleaning, feature engineering, and model building
Strong analytical and problem-solving skills
Ability to communicate technical concepts clearly
Enthusiasm for learning and applying new technologies
Ability to work independently and as part of a team

Preferred Requirements

Prior experience working with real-world datasets, especially agricultural data
Coursework or experience in software engineering or database management systems
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for model deployment
Experience writing unit tests for data science or machine learning code using pytest or unittest
Previous internship or project experience in applied data science or machine learning
Experience presenting data science results to diverse audiences

Additional Information

What We Offer:

A culture that celebrates diversity & inclusion, promotes professional

development, and strives for a work-life balance that supports the team

members. Offers flexible work options to support your work and personal needs.

Full Benefit Package (Medical, Dental & Vision) that starts your first day.
401k plan with company match, Profit Sharing & Retirement Savings

Contribution.

Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education

Assistance, Wellness Programs, Corporate Discounts, Among Other Benefits.

Syngenta has been ranked as a top employer by Science Journal.

Learn More About Our Team And Our Mission Here

https://www.youtube.com/watch?v=OVCN_51GbNI

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.

Syngenta

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