Data Science Intern

What you'll do

• Perform deep-dive analyses to identify product growth opportunities and improve core business metrics.
• Design, implement, and analyze A/B experiments and causal inference models to evaluate product changes.
• Build scalable dashboards to define and monitor key product performance metrics.
• Create data visualizations and narratives to communicate insights to senior leadership and cross-functional partners.
• Lead large-scale analytics projects to uncover user insights and inform product strategy.
• Develop predictive and uplift models to drive data-informed decision-making across the organization.

What we're looking for

• Must be currently enrolled in a full-time graduate degree program with an expected graduation date in Winter 2027 or Spring 2028.
• Pursuing a graduate degree in a quantitative field such as mathematics, statistics, engineering, or natural science.
• Proven expertise in data science with a strong background in statistical analysis and machine learning.
• Strong programming skills in Python and SQL.
• Experience with data visualization tools and techniques.
• Ability to successfully implement projects and compete in a fast-paced environment.
• Previous experience working in financial technology (preferred).