{"id":4254955,"url":"https://alion.io/job/sallie-mae-data-science-engineering-intern","title":"Data Science & Engineering Intern","company":{"id":1048992,"name":"Sallie Mae","domain":"salliemae.com","url":"https://alion.io/company/sallie-mae","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Newark, United States","Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"GitHub","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-13T14:13:05Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"When you join Sallie, you become a champion for all students.\nSallie’s Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We’re on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better.\nSallie Mae is proud to help Americans aspiring to create the life they want, whether that means helping them make college happen, or something more. Our colleagues across departments and across the country are united in our passion and our customer-first approach. Whether you want to join a growing company, be part of an agile workforce, or gain new skills, you're in the right place.\nProgram Overview:\nThe Sallie Mae Internship program seeks to attract and develop exceptional early talent while adding value to our organization. Our goal is to tie academic learning into a practical business setting while fostering professional and personal growth within a student’s area of focus. Over the course of the summer, interns will gain exposure to senior leaders, attend meetings, work alongside mentors, and receive valuable performance feedback.\nPosition Summary:\nWould you like to work in an exciting fast-paced start-up place with the backing of a household name company like Sallie Mae to help millions of people meet their educational needs every day? Together, we’re connected by the same drive-to be a champion for all students and help them make smart decisions with confidence. Do more than join something-change something…for students, for future generations, and for the future of education.\nOur new venture, Sallie, is looking for people like you who will define the future of education services for students and their families in the US. As the first education solutions company, we’re creating products and experiences that help students when they need it most. We’re connecting students to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit https://www.sallie.com/about to learn more about us.\nKey Responsibilities:\nThe Data Science & Engineering Intern will work with our data team on projects supporting digital marketing, digital products, business analytics, and student lending. Projects may involve contributing to data pipelines, predictive analytics, dashboards, backend development, AI agents, or other data projects that enable our businesses.\nResponsibilities include:\nUse SQL and Python to prepare, transform, and analyze data from multiple sources.\nWork with team members to understand business requirements and translate them into technical solutions.\nSupport the development of data pipelines, analytical solutions, and reporting tools.\nContribute to predictive models, time series forecasts, and AI enablement.\nInvestigate data quality issues and validate the logic and results of analyses and data products.\nDocument technical methods and findings and communicate results to nontechnical partners.\nUse AI-assisted development tools while generating code and validate its outputs.\nThe ideal candidate is curious about both how data systems work and the businesses and products they support. They are comfortable learning unfamiliar tools, asking clarifying questions, and taking responsibility for the accuracy of their work.\nEducation:\nCurrently enrolled in an accredited university pursuing a degree in Data Science, Computer Science, Statistics, Business Analytics, Mathematics, Data Engineering, Artificial Intelligence, or related technical field. Open to undergraduate and graduate level students with expected graduation dates of Dec 2027 - May 2028\nAvailability:\nThis is a 12-week paid internship and expectations for a 40-hour work week for the following dates 6/7/2027 - 8/28/2027. We follow a flexible 3-day per week in-office policy and open to working out of our Newark, DE or Arlington, VA offices.\nKnowledge, Skills, and Abilities:\nQualifications:\nExperience using SQL to query, join, filter, and aggregate data.\nExperience using Python for data analysis, machine learning, or artificial intelligence.\nWorking knowledge of digital marketing measurement, including funnel metrics such as click-through rates, UTM tracking, campaign attribution, and traffic sources.\nAbility to explain analytical findings and technology solutions to a nontechnical audience.\nStrong attention to detail, communication skills, and willingness to learn.\nPreferred Qualifications\nExperience with a cloud data platform such as Snowflake, Databricks, or AWS\nExperience with version control systems such as GitHub\nExperience analyzing website, paid media, or CRM data from platforms such as Meta, HubSpot, or Salesforce\nFeeling your best helps you do your best:\nOur benefits take care of the whole you-so you can build your work around your life (not the other way around!).\nCompetitive base salaries\n\nBonus incentives\n\nGenerous PTO, Floating Holidays and 12 Federal Holidays observed\n\nSupport for financial-well-being and retirement 401k with employer match\n\nComprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more\n\nEmployer paid short-term/long-term disability and basic life insurance\n\nFlexible hybrid working arrangements.\n\nPaid parental leave and adoption reimbursement programs\n\nFree access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)\n\nConfidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives\n\nTuition Reimbursement and Family Scholarship Programs\n\nCareer development and training opportunities\n\nNot the right fit? Let us know you're interested in a future opportunity by clickingIntroduce Yourselfin the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!\nSallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.\nReasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.","description_format":"text","description_chars":7061,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Financial Services","Higher Education","Commercial & Retail Banks"],"lifecycle":[{"event":"open","at":"2026-11-13T14:13:05Z"}],"visa":[],"liveness":{"score":77,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.853,"p_room":0.9,"age_days":15,"expected_fill_days":27,"reasons":["conf:2","win:mid","comp:junior"],"computed_at":"2026-11-13T16:34:15Z"},"pay":null,"html_url":"https://alion.io/job/sallie-mae-data-science-engineering-intern","json_url":"https://alion.io/job/sallie-mae-data-science-engineering-intern.json","meta":{"generated_at":"2026-11-13T16:34:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":33216,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1048992},"rest":"https://alion.io/mcp/rest/get_company?id=1048992"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsallie-mae-data-science-engineering-intern"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsallie-mae-data-science-engineering-intern"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsallie-mae-data-science-engineering-intern"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sallie-mae-data-science-engineering-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsallie-mae-data-science-engineering-intern"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4254955}},{"tool":"search_jobs","arguments":{"company":"salliemae.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4254955},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}