Intern, Data Science
MoneyLion
About Gen
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.
Together, we share a collective passion and vision to protect consumers and help them grow, manage, and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.
At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation, and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.
If this sounds like you, we’d love you to be part of Gen.
How Will You Make An Impact?
Are you ready to make an impact? If you’re looking for an internship that gives you hands-on experience in a fast-paced, high-impact technology environment, especially one at the forefront of cybersecurity—you’re in the right place.
From product innovation to data science, marketing, engineering, and beyond—you’ll work on real projects, solve real problems, and contribute to meaningful work that supports our mission.
What You’ll Do
Experiment Test Plan Organization
Help structure and document a standardized experiment analysis plan.
Create repeatable documentation templates for future HTE analysis.
Double ML Tooling Leverage & Refinement
Assist in refining feature inputs and model specifications.
Support validation of assumptions and model stability.
Ensure reproducibility and documentation of DML methodology.
Heterogeneous Treatment Effect Analysis (Applied Test)
Select and analyze one live or recent experiment.
Use DML to estimate heterogeneous treatment effects across:
Risk tiers
Score bands
Traffic cohorts
External signal overlays (if applicable)
Compare heterogeneous results vs average treatment effect.
Findings & Business Recommendations
Translate technical DML outputs into actionable Yield recommendations.
Identify segments with:
Positive incremental lift
Neutral impact
Negative or adverse effects
Recommend targeting, routing, or pricing adjustments where applicable
Who You Are
A current undergraduate or graduate student, rising junior/senior preferred, Data Science
Statistics/Mathematics
Econometrics
Computer Science
Applied Mathematics
Economics
Curious, proactive, and eager to learn in a dynamic, fast paced high- tech environment
Self-starter who’s not afraid to try innovative ideas and learn by doing
Visionary leader with a strategic mindset and a passion for leveraging data to drive decision making
Skills:
Strong proficiency in SQL
Experience with Python (especially scikit-learn, pandas, numpy)
Familiarity with causal inference concepts (ATE, HTE, propensity scoring, instrumental variables, etc.)
Exposure to machine learning workflows and model evaluation
Understanding of experimental design and A/B testing frameworks
Comfort working with large datasets and feature engineering
Strong statistical intuition and ability to question assumptions
Ability to translate complex quantitative findings into business recommendations
Clear communication and presentation skills
Why Join Us?
Our internship program is designed to be more than just a summer position—it’s a launchpad for your career. You’ll walk away with:
Collaborate on impactful, real-world projects alongside experienced professionals
Gain exposure to real-time business challenges and contribute to innovative solutions
Attend learning sessions, workshops, and networking events with leaders across the company
Receive ongoing mentorship, feedback, and career development support
Internship Program Details
Start Date: June 1
Duration: 10 weeks
Location: Onsite NYC Office 5 days per week
Pay Rate: $30.00 per hour
Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.
We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency.
To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.