Data Science Intern
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- 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.
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
