Intern – Marketing Data Science & Experimentation (MoneyLion, FinTech
USA - New York, New York
Internship
Onsite
$30/hr - $30/hr
Intern
Gen Digital is a global company focused on cybersecurity, identity, privacy, and financial wellness. They are seeking an intern for the MoneyLion Marketing & Yield Analytics team to work on experiments and analytics that influence customer acquisition and decision-making processes.
Responsibilities
Work on real experiments that influence how we acquire, approve and serve MoneyLion customers
Help design and analyze A/B tests to understand how product, pricing and targeting decisions affect risk, conversion and yield
Use applied causal inference and heterogeneous treatment effect (HTE) methods to go beyond average results and see which customer segments respond best
Turn quantitative findings into clear, actionable recommendations for marketing, product and risk stakeholders
Help structure and document a standardized experiment analysis plan for MoneyLion growth, risk and pricing tests
Create simple, repeatable templates so future HTE analyses are faster and more consistent
Assist in refining feature inputs and model specs for double machine learning (DML) analyses
Support basic checks of assumptions and model stability
Document methods so analyses are reproducible and easy to review
Select and analyze one live or recent MoneyLion experiment
Use DML to estimate HTE across: risk tiers, score bands, traffic cohorts and, where relevant, external signals
Compare heterogeneous results to the average treatment effect (ATE) to see where we win, are neutral, or see adverse effects
Translate DML and HTE outputs into clear yield and growth recommendations
Highlight segments with positive, neutral and negative incremental lift
Recommend targeting, routing or pricing adjustments (e.g., where to push harder in marketing, or tighten/relax policies)
Qualification
Required
Legally authorized to work in the United States for the full duration of the internship, with potential to extend
Clearly state your current U.S. work authorization status at the top of your CV (e.g., 'U.S. citizen', 'permanent resident/green card holder', 'F‑1 with OPT', etc.)
Current undergraduate or graduate student (rising junior/senior preferred) in Data Science, Statistics/Math, Econometrics, Computer Science, Applied Mathematics, Economics or a similar quantitative field
Strong proficiency in SQL for querying and aggregating large datasets
Experience with Python (pandas, NumPy, scikit‑learn or similar) for data prep and modeling
