
University 2026 Intern: Data Scientist
Join ID.me as a Data Science Intern and put your analytical skills to work on real-world data challenges that impact millions of people. In this role, you’ll collaborate with our Data Science, Analytics, Product, and Engineering teams to explore data patterns, build predictive models, and develop insights that support decision-making across our platform. This internship is an ideal opportunity for graduate students (MS) specializing in Data Science, Applied Mathematics, Statistics, or related fields who are eager to apply their skills in a fast-paced, mission-driven environment.
What You’ll Do
- Work with senior data scientists to design experiments, test hypotheses, and analyze large datasets.
- Contribute to building and evaluating predictive models and data pipelines.
- Help design dashboards and reporting tools to monitor key metrics and business outcomes.
- Partner with cross-functional teams to translate data insights into actionable recommendations.
- Support exploratory analyses to uncover trends in user behavior and system performance.
- Participate in team discussions on data strategy, model performance, and product analytics.
What We’re Looking For
- Currently pursuing a Master’s degree in Data Science, Applied Mathematics, Statistics, Computer Science, or related quantitative field.
- GPA must be greater than 3.5.
- Strong technical skills in Python, SQL, and data analysis libraries (pandas, numpy, scikit-learn).
- Familiarity with machine learning methods such as decision trees, regression, and ensemble models.
- Experience working with large datasets through coursework, research, or prior internships.
- Curious, data-driven thinker with strong problem-solving skills and clear communication abilities.
- Excited to apply analytics to meaningful, real-world challenges.
Why ID.me?
- Impactful Mission: Work on projects that contribute to digital trust and secure online interactions.
- Learning & Mentorship: Collaborate with experienced data scientists, engineers, and product leaders.
- Career Launchpad: Gain hands-on experience in machine learning, applied analytics, and product data science.
- Collaborative Culture: Be part of an innovative environment where cross-functional teamwork drives results.
- In-Office Growth: While flexibility exists, this role is primarily in-office (McLean, VA), providing opportunities for mentorship, collaboration, and long-term career development.
✨ This internship is designed for graduate students who want to apply their data science and quantitative skills in a supportive environment, while building the foundation for a career in tech and analytics.
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