Intern - Data Scientist
Portland, ME 
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Posted 7 days ago
Job/Internship Description

About the Role

We are seeking a highly motivated and talented Computer Science student to join our team as an intern. In this exciting position, you will have the opportunity to work on cutting-edge AI/ML enabled applications in the fleet space, utilizing data from fuel transactions and telematics. You will gain valuable hands-on experience creating real-world applications that make a difference. If you are passionate about AI, machine learning, and want to make an impact in the fleet industry, we would love to hear from you.

Responsibilities:

How You'll Make an Impact

  • Collaborate with a multidisciplinary team to develop prototypes for AI/ML enabled applications in the fleet space

  • Analyze and process large datasets, including fuel transactions and telematics data

  • Leverage machine learning techniques such as classification and regression to develop predictive models

  • Implement algorithms using Python, OpenAI, LangChain, and Dataiku

  • Contribute to the design, development, testing, and deployment of innovative AI/ML solutions

  • Participate in team meetings and present your work to stakeholders

Experience You'll Bring

  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, or a related field

  • Strong programming skills, with proficiency in Python

  • Experience with AI/ML frameworks, such as OpenAI and LangChain

  • Familiarity with data processing and analysis tools, such as Dataiku

  • Knowledge of machine learning techniques, including classification and regression

  • Strong problem-solving skills and the ability to learn quickly

  • Excellent communication and teamwork skills

  • Demonstrated interest in the fleet industry and AI/ML applications

Preferred Qualifications:

  • Previous experience working with telematics or fuel transaction data

  • Knowledge of advanced machine learning techniques and deep learning frameworks

  • Experience with cloud computing platforms, such as AWS or Google Cloud

  • Familiarity with Agile development methodologies

What We Offer:

  • A dynamic, innovative, and collaborative work environment

  • Opportunity to work on real-world projects that have a direct impact on the fleet industry

  • Mentorship from experienced professionals in the field of AI/ML

  • Networking opportunities with industry experts

  • Competitive internship compensation

To Apply:

Please submit your resume, cover letter, and a link to your GitHub profile or a relevant code sample showcasing your AI/ML projects. In your cover letter, please explain why you are passionate about AI/ML and how you envision contributing to our projects in the fleet space.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.

Salary Pay Range: $20,00 - $25,00
Equal Opportunity Employer/Vets/Disability

 

Position Summary
Company
Start Date
As soon as possible
Employment Type
Full Time
Period of Employment
Open
Type of Compensation
Paid
College Credits Earned
No
Tuition Assistance
No
Required Student Status
Open
Preferred Majors
Other
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