Data Science Intern Job at XPO, Boston, MA

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  • XPO
  • Boston, MA

Job Description

Data Science Intern

Requisition Id: 385333

Business Unit: Corporate

Location:

Boston, MA, US, 02110

Are you a curious, analytical student eager to apply your data science skills to real-world challenges at scale? Are you interested in building machine learning models, working with large datasets, and contributing to innovative AI projects that drive meaningful business impact?

If so, we'd love to meet you.

XPO is a leading freight transportation provider with 39,000 employees across North America and Europe - and we're also a company where advanced analytics, machine learning, and emerging AI technologies are transforming how freight moves every day.

We are seeking a Data Science and AI Intern to join our team for a hands-on, high-impact experience from mid-May through the end of the summer. Interns at XPO are embedded in real project work, paired with experienced mentors, and given exposure to cutting-edge initiatives across our data science and technology organization.

This is an exciting opportunity for students who want to sharpen their technical skills while solving complex problems in an innovative, fast-paced environment.

This role is largely in-person and includes training and development through XPO's official internship program.

Compensation: This will be a paid, hourly position.

Duration: 12-weeks (mid-May through August)

What you'll need to succeed as a Data Science Intern at XPO

Minimum qualifications:

  • High school diploma or equivalent and currently pursuing a bachelor's degree

  • 2 or more years of relevant undergraduate coursework

Preferred qualifications:

  • Education toward a degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field

  • Experience programming in Python and working with data-driven libraries (Pandas, NumPy, Scikit-learn, etc.)

  • Familiarity with SQL and relational databases

  • Coursework or project experience in machine learning, predictive modeling, or statistical analysis

  • Exposure to modern AI techniques, including deep learning or large language models (LLMs) isa plus

  • Strong analytical and problem-solving skills with attention to detail and accuracy

  • Energetic work style with a strong drive to learn and contribute

  • Excellent verbal and written communication skills, with the ability to explain technical findings to varied audiences

About the Data Science Intern job

What you'll do on a typical day:

  • Partner closely with a dedicated mentor and collaborate with experienced data scientists across the organization

  • Analyze large, complex datasets to uncover trends, patterns, and actionable insights

  • Develop and evaluate predictive models using machine learning techniques

  • Communicate results and recommendations to technical and business stakeholders through presentations, reports and visualizations

  • Work directly with cross-functional business partners to interpret results, iterate on findings and deliver impactful solutions

  • Gain exposure to innovative applications of AI

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO.

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.

Review XPO's candidate privacy statementhere ( .

Job Tags

Hourly pay, Summer internship

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