Data Science Internship (Summer 2025)

USA AL Huntsville (401 Diamond Dr, NW)

Parsons Corporation

Parsons is a digitally enabled solutions provider and a leader in many diversified markets with a focus on national security, defense, and global infrastructure.

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In a world of possibilities, pursue one with endless opportunities. Imagine Next!

When it comes to what you want in your career, if you can imagine it, you can do it at Parsons.  Imagine a career working with intelligent, diverse people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We’ve got what you’re looking for.

Job Description:

Parsons is looking for an amazingly talented Data Science Intern to join our team!

Ready to advance your education and have the opportunity to apply Machine Learning to real world problems? Parsons is now accepting applications for Interns who have an interest in the field of Data Science.  

Parsons experience in this field, combined with your willingness to work hard will propel your career and opportunities forward. We need our interns to be versatile, enthusiastic to work in highly flexible, team oriented environments that have exceptional communication, analytical and organizational skills   In this role you will be under close supervision of a degreed professional, and complete routine support assignments.  Your assignments are designed to develop a working knowledge of practices and procedures related to Machine Learning.  This is a developmental position for college interns who are pursuing a technical (non-engineering) field of study.   
 

What You'll Be Doing:

  • Researches and gathers statistics and related data for reporting.

  • Performs other responsibilities associated with this position as may be appropriate.

  • In support of degreed professional, apply Machine Learning techniques to generate training data, train models, and report observations of statistical models

What Required Skills You'll Bring:

  • Incumbent must be enrolled in technical curriculum at an accredited college or university and completed at least one year of study.

  • Ability to obtain and maintain a security clearance

  • Must be a U.S. citizen

  • Familiarity with tasks, techniques, and PC software packages typically associated with field of study.

  • Organized and self-motivated

  • Able to work in a team environment

Minimum Clearance Required to Start:

  • None

Minimum Clearance Required to Start:

Not Applicable/None

This position is part of our Federal Solutions team.

Our Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our diverse, intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Salary Range: 

$21.44 - $37.55

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as 401K!

Parsons is an equal opportunity employer committed to diversity, equity, inclusion, and accessibility in the workplace. Diversity is ingrained in who we are, how we do business, and is one of our company’s core values. Parsons equally employs representation at all job levels for minority, female, disabled, protected veteran and LGBTQ+.

We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!
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Tags: Engineering Machine Learning Security Statistics

Perks/benefits: Career development Equity / stock options Flex hours

Region: North America
Country: United States

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