Super Day - Data Science Internship

Perpay • Philadelphia, PA

2d • Onsite

About The Position

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. As a Data Science intern, your main responsibility is to learn, but you'll learn it by doing real work. During the summer of 2027, you'll leverage our expansive data sets to research, identify, and build features to train models and drive real impact. Applying your knowledge of modeling, statistical methodologies, and exploratory data analysis, you'll partner with stakeholders across Engineering, Risk, Marketing, Merchandising, and Finance and communicate solutions designed to drive company growth, getting hands-on with our stack, which includes Python (scikit-learn, pandas, NumPy, statsmodels), SQL, and Redshift. Our greatest strength is our people, and we’d love for you to be one of them! This is a 🚀 Super Day Hiring Event 🚀 specific job posting. 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

Requirements

• 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 and 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).

Nice To Haves

• 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

Responsibilities

• Leverage expansive data sets to research, identify, and build features to train models and drive real impact.
• Apply knowledge of modeling, statistical methodologies, and exploratory data analysis.
• Partner with stakeholders across Engineering, Risk, Marketing, Merchandising, and Finance.
• Communicate solutions designed to drive company growth.
• Get hands-on with the stack, which includes Python (scikit-learn, pandas, NumPy, statsmodels), SQL, and Redshift.
• Introduce yourself on Slack and meet your team within the first week.
• Get oriented in 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 the first week.
• Get fluent enough in data sets and modeling tools to explore and build independently within the first month.
• Scope your first real project with a mentor, including the modeling or statistical approach and the trade-offs involved within the first month.
• Ship your first contribution (a feature, an analysis, or a small improvement to an existing model) within the first month.
• Ship a model, feature, or analysis that the team relies on after you're gone by the end of the internship.
• Present your work to the broader team by the end of the internship.
• Meet 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 by the end of the internship.

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.
• Meaningful compensation and equity (for full-time team members)
• Premium medical benefits (fully paid base plan, and very reasonable premium for the buy-up option) (for full-time team members)
• 5% employer 401k match (for full-time team members)
• Unlimited PTO policy (for full-time team members)
• Remote weeks around major holidays + extra holiday on weekends like MDW and LDW (for full-time team members)
• High quality catered lunch by local chefs, 4 days / week (for full-time team members)
• Gym subsidy (for full-time team members)
• Paid cell phone + plan (for full-time team members)
• Student loan repayment match program (for full-time team members)
• Family savings match program (for full-time team members)
• Relocation assistance (for full-time team members)
• Generous team member discounts (for full-time team members)

What This Job Offers

• Career Level: Intern