Super Day - Data Science Internship
Summer 2027 data science internship at Perpay, a Philadelphia fintech serving subprime-credit consumers. The intern researches and builds model features for credit decisioning, loss forecasting, attribution, and experimentation using Python (scikit-learn, pandas, NumPy, statsmodels), SQL, and Redshift. 100% onsite, hired via a one-day 'Super Day' event.
- Compensation
- Not disclosed
- Location
- Philadelphia, United States
- Work setup
- Onsite
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- Currently enrolled in or will receive a Master's in Data Science, Computer Science, Computer Engineering, Information Systems, or equivalent technical discipline, with expected graduation between wint
- 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)
- Complete a pre-work challenge and attend the invite-only Super Day on November 13 (application deadline November 2)
Nice to have
- Enrolled in a Master's Degree or advanced technical degree
- Previous work experience in a technical field
- Experience implementing machine learning solutions to production environments
- Understanding of modern scalable data science platforms
Full description
About Us:
Perpay is a certified B Corp and Philadelphia’s most impactful growth-stage startup. We are driven by a mission to significantly improve the financial stability of everyday Americans. For the past decade, we have established strong product-market fit and a profitable, efficient operating model across a suite of products, positioning Perpay as the premier financial partner for consumers with subprime credit.
With over 500,000 customers who have utilized more than $1 billion in spending power, we are at a pivotal moment. We are scaling our operations, building new offerings, and deepening our impact. We are looking for teammates eager to join us on this journey.
Our venture partners include First Round Capital and L Catterton.
Products we’ve built to make an impact:
- Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior.
- Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus.
- Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds.
Our team thrives on in-person collaboration, operating from our unique center-city Philadelphia office. This comfortable "home away from home" space offers river views and fosters rapid product development, strong relationships, and career growth. The energy from achieving big wins is palpable here. While we primarily work in the office, we offer sensible flexibility for personal needs, such as sick children or urgent errands, and coordinate official remote weeks around major holidays. If you are passionate about a meaningful mission, collaboration, equity, and generous perks, Perpay is the best place to be in Philadelphia right now.
This is a 🚀 Super Day Hiring Event 🚀 specific job posting.
What is Super Day?
It's an accelerated hiring event that will give you the unique opportunity to land this role in just one day! We will host it on November 13th at Perpay HQ in Philadelphia. Selected candidates will tour the office, meet the team, and experience a fast-tracked interview process. Attendance is invite-only, and applicants must complete a pre-work challenge to be considered. Launch your career by applying below! *Application Deadline: November 2nd*
About the Role:
Our data team is organized across three groups: Data Engineering, Data Science, and Strategic Analytics. Data Science owns the modeling work that drives Perpay's most consequential decisions: credit decisioning, loss forecasting, marketing-mix attribution, product experimentation, and the ML systems that sit in front of our customers in real time.