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Applied Scientist Intern

Ramp· Data
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Hybrid (New York, NY (HQ))InternPosted 2w ago

About the role

Applied Science intern role focused on building ML-driven solutions across credit, fraud, growth, and core product in a hybrid, NYC HQ setting. Integrates with engineers, product managers, and business stakeholders to translate business needs into deployable models and value for Ramp and customers.

Responsibilities

  • End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring
  • State-of-The-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers
  • Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference
  • Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods
  • Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features

Qualifications

  • B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must.
  • Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
  • Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions
  • Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)
  • SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse)
  • Practical Experience: track record of curating datasets and building/evaluating ML models
  • Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative
  • Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate

Benefits

  • Apple MacBook
  • Catered lunches in NYC office Monday-Friday
  • Weekly coffee stipend
  • Flexible PTO
  • Centralized home-office equipment ordering
  • Health and wellness stipend
  • Budget for intra-office travel
  • Weekly coffee stipend
  • 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents (US)
  • One Medical annual membership (US)
  • 401(k) with employer match (US)
  • Fertility HRA (US)
  • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay (US)
  • Pet insurance (US)
  • Relocation expense coverage to NYC or SF (US)
  • Group medical, dental, and vision coverage through Sun Life (Canada)
  • Life, AD&D, and disability coverage (Canada)
  • Fertility drug coverage (Canada)
  • Group Retirement Plan with employer match (Canada)
  • Parental leave: up to 16 weeks (Canada)
  • Employee Assistance Program and virtual care through Lumino Health (Canada)
  • Private medical insurance through Freedom Elite (UK)
  • Virtual GP and at-home care via eMedical x Livi (UK)
  • Workplace pension through Penfold (UK)
  • Parental leave: up to 16 weeks (UK)
  • Referral Instructions included
  • San Francisco Fair Chance Ordinance notice included
Last updated Oct 8, 2026. Interested? Apply on the company site.
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About Ramp

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