Data Science Intern

Job Description

About Workiva

Workiva is an Equal Employment Opportunity and Affirmative Action Employer. They believe in the power of diverse perspectives and backgrounds, recognizing diversity as a source of intellectual thought, innovation, and varied perspectives. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. They strongly encourage and welcome people from historically marginalized groups to apply. Workiva employees undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. They support employees in working where they work best, either from an office or remotely from any location within their country of employment.

Data Science Intern Job Description

This internship position has opportunities to start in the Summer of 2025. The start date is Monday, May 19, 2025, with a maximum of 40 hours per week.

The Data Science Intern will act as part of a collaborative team to generate insights and product features from data. The intern will contribute to the discovery, requirements gathering, data acquisition and wrangling, pipeline monitoring, and model prototyping and improvement processes.

What You’ll Do:

• Participate in discovery, requirements gathering, and exploratory data analysis
• Assist team data engineers and ML engineers with the development and optimization of data and model pipelines, including data cleaning/wrangling
• Work with team data scientists to prototype, test, and refine machine learning models to solve real-world problems, including in production environments
• Gain experience with using machine learning at scale

What You’ll Need (Minimum Qualifications):

• Currently pursuing an undergraduate or higher degree in statistics, mathematics, computer science, software engineering, or a related field is required

Preferred Qualifications:

• Hands-on programming experience
• Experience using real-world data for projects, including data cleaning and preparation
• Experience with data science libraries like pandas, scikit-learn, caret, mlr, Tensorflow
• Experience using the command line for development tasks
• Basic knowledge of machine learning techniques such as classification, regression, and clustering
• Familiarity with statistical concepts such as distributions, statistical testing, types of variables
• Strong communication and organizational skills
• Interest in expanding skills applicable within a data organization
• Experience with source control systems such as Git

Travel Requirements And Working Conditions:

• Reliable internet access for any period of time working remotely, not in a Workiva office
• Must be authorized to work in the United States and not require sponsorship now or in the future

How You’ll Be Rewarded:

• Salary range in the US: $40.00 – $40.00
• 401(k) participation and match
• Paid sick leave
• A unique opportunity to further your learning experience through additional internship seasons