Data Science Internship, Summer 2027

Perpay is a financial technology company focused on improving the financial stability of everyday Americans through credit, payments, and e-commerce products. The Data Science intern will research, identify, and build features using large datasets to train models and drive business impact, while collaborating with Engineering, Risk, Marketing, Merchandising, and Finance.

What you'll do:

• Research, identify, and build features to train models and drive real impact
• Within your first week, you'll:
• Introduce yourself on Slack and meet your team
• Get oriented in our data sets, walk through existing models and analyses with the rest of the team, and read enough of the codebase to start asking useful questions
• Within your first month, you'll:
• Get fluent enough in our data sets and modeling tools to explore and build independently
• Scope your first real project with a mentor, including the modeling or statistical approach and the trade-offs involved
• Ship your first contribution. It could be a feature, an analysis, or a small improvement to an existing model
• By the end of your internship, you'll:
• Have shipped a model, feature, or analysis that the team relies on after you're gone
• Have presented your work to the broader team, and walked away with a real sense of what production data science looks like day to day
• Have met with various business owners across the company to build your network and get a feel for how a data team fits into a fast-paced startup

What they're looking for:

• Currently enrolled in or will receive a Master's in Data Science, Computer Science, Computer Engineering, Information Systems, or an equivalent technical discipline with an expected graduation date between winter 2027 – summer 2028, or equivalent relevant experience
• 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)
• 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

Benefits:

• Hourly compensation
• Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials
• One-of-a-kind office with comfortable work/lounge spaces and pleasant riverfront setting
• Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech, working cross-functionally