{"id":867665,"url":"https://alion.io/job/perpay-data-science-internship-summer-2027","title":"Data Science Internship, Summer 2027","company":{"id":687456,"name":"Perpay","domain":"perpay.com","url":"https://alion.io/company/perpay","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":40,"open_postings":15,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Philadelphia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":74000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":145},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"NumPy","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Slack","optional":true},{"name":"Statsmodels","optional":true}],"status":"live","first_seen_at":"2023-09-12T13:27:18Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-03T23:06:35Z","board_verified":true,"closed_at":null,"days_open":1117,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1116},"description":"About Us:\nPerpay 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.\nWith 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.\nOur venture partners include First Round Capital and L Catterton.\nProducts we’ve built to make an impact:\nPerpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior.\nPerpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus.\nPerpay 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.\nOur 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.\nAbout the Role:\nOur 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.\nAs 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.\nOur greatest strength is our people and we’d love for you to be one of them!\nWhat to Expect from the Internship\nWithin your first week, you'll:\nIntroduce yourself on Slack and meet your team.\nGet 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.\nWithin your first month, you'll:\nGet fluent enough in our data sets and modeling tools to explore and build independently.\nScope your first real project with a mentor, including the modeling or statistical approach and the trade-offs involved.\nShip your first contribution. It could be a feature, an analysis, or a small improvement to an existing model.\nBy the end of your internship, you'll:\nHave shipped a model, feature, or analysis that the team relies on after you're gone.\nHave presented your work to the broader team, and walked away with a real sense of what production data science looks like day to day.\nHave 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.\nWhat You’ll Bring:\nCurrently 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.\nKnowledge of machine learning and statistical research.\nExperience using SQL for acquiring and transforming data.\nProficient in programming, analysis, and visualization using object-oriented programming languages (Python preferred).\nBonus:\nEnrolled in a Master’s Degree or advanced technical degree\nPrevious work experience in a technical field\nExperience with implementing machine learning solutions to production environments\nUnderstanding of modern scalable data science platforms\nHey, we know not everybody checks all the boxes, so if you’re interested, please apply because you could be just what we’re looking for!\nAI Policy:\nEach application is carefully considered by our team. We give preference to ones that sound like a person wrote them. We value your voice, your phrasing, and your judgment about what's worth emphasizing.\n[redacted] \nWhat We’ll Bring for the Internship: \nHourly compensation\nEspresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials\nOne-of-a-kind office with comfortable work/lounge spaces and pleasant riverfront setting\nOpportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech, working cross-functionally.\nWhat We’ll Bring to Full-time Team Members:\nMeaningful compensation and equity\nPremium medical benefits (fully paid base plan, and very reasonable premium for the buy-up option)\n5% employer 401k match\nUnlimited PTO policy\nRemote weeks around major holidays + extra holiday on weekends like MDW and LDW\nHigh quality catered lunch by local chefs, 4 days / week\nGym subsidy\nPaid cell phone + plan\nStudent loan repayment match program\nFamily savings match program\nRelocation assistance\nGenerous team member discounts\nThis is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1)\nPerpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at  to request accommodation.","description_format":"text","description_chars":6551,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Relocation assistance","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Buy Now, Pay Later"],"lifecycle":[{"event":"open","at":"2026-09-13T14:43:56Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 1","filings_12m":5,"filings_prev_12m":3,"green_card_filings_12m":1,"median_offered_wage_usd":127500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.111,"p_room":0.28,"age_days":1116,"expected_fill_days":43,"reasons":["conf:25","stale_co","ghost","win:tail","crowd:junior"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/perpay-data-science-internship-summer-2027","json_url":"https://alion.io/job/perpay-data-science-internship-summer-2027.json","meta":{"generated_at":"2026-10-04T00:10:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":101,"day_limit":5000,"remaining_today":4899,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}