Data Science Intern

Role purpose

As a Data Science Summer Intern you will support Syngentas machine learning applications for plant breeding decision making. You will perform exploratory data science tasksquerying cleaning and engineering features from real-world datasetsand 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 Bachelors or Masters 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:
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.

Remote Work :

No

Employment Type :

Intern