Position Details
About this role
Data Science Intern at XPO works on building ML models and analyzing large datasets to inform business decisions in freight operations. The internship provides mentorship and hands-on project exposure focused on AI applications.
Key Responsibilities
- Partner with mentor on real project work
- Analyze large datasets to uncover trends
- Develop and evaluate predictive models
- Communicate results to stakeholders
- Collaborate with cross-functional teams to implement solutions
Technical Overview
Stack includes Python data-science libraries (Pandas, NumPy, Scikit-learn), SQL, and ML techniques including predictive modeling and potential deep learning/LLMs; exposure to AI projects in logistics.
Ideal Candidate
The ideal candidate is a data science intern with strong Python and ML foundations, experience analyzing large datasets, and an interest in applying AI to logistics problems. They are pursuing a bachelor’s degree and have 2+ years of coursework in data science or related fields.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Not pursuing a bachelor’s degree, Insufficient Python/ML coursework, Lack of SQL or data analysis experience
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