Data Science Internship
2024
Posted on 1/30/2024
Perpay

51-200 employees

Financial outcomes & borrowing all-in-one platform
Company Overview
Perpay’s mission is to build simple, transparent, and inclusive financial products that challenge typical channels of credit and improve the lives of members. The company believes that everyone deserves access to financial peace of mind and has developed an all-in-one platform to provide underserved consumers to make purchases, pay over time, and build credit.
Financial Services
B2C

Company Stage

Seed

Total Funding

$8M

Founded

2014

Headquarters

Philadelphia, Pennsylvania

Growth & Insights
Headcount

6 month growth

5%

1 year growth

32%

2 year growth

69%
Locations
Philadelphia, PA, USA
Experience Level
Intern
Desired Skills
Python
Data Science
SQL
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Currently enrolled in or will receive a Bachelor’s in Data Science, Computer Science, Computer Engineering, Information Systems or an equivalent technical discipline with an expected graduation date between winter 2024 – summer 2025
  • Knowledge of machine learning and statistical research
  • Experience using SQL for acquiring and transforming data
  • Proficient in programming, analysis and visualization using object-oriented programming languages (Python preferred)
Responsibilities
  • Leverage expansive data sets to research, identify and build features to train models and drive real impact
  • Partner with business leaders and communicate solutions designed to drive company growth
  • Think proactively and futuristically to identify opportunities to contribute to the long-term roadmap for Data Science
  • Develop the skills to succeed in a fast-paced tech start-up environment and contribute to the unique culture
Desired Qualifications
  • Enrolled in a Master’s Degree or advanced technical degree
  • Previous work experience in a technical field
  • Experience with implementing machine learning solutions to production environments
  • Understanding of modern scalable data science platforms