Opportunity at
RobinhoodData Science Intern (Summer 2027)
Robinhood is hiring a Data Science Intern for the Summer 2027 term to support its Brokerage team. The company focuses on democratizing financial access and building…
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About This Role
Robinhood is hiring a Data Science Intern for the Summer 2027 term to support its Brokerage team. The company focuses on democratizing financial access and building technology for retail brokerage products. This internship position suits a graduate student interested in applying statistical methods and analytics to the financial sector. Interns will collaborate with multi-functional departments including engineering, product management, design, and operations to evaluate product changes and shape business strategy.…
Job Description
Robinhood is hiring a Data Science Intern for the Summer 2027 term to support its Brokerage team. The company focuses on democratizing financial access and building technology for retail brokerage products. This internship position suits a graduate student interested in applying statistical methods and analytics to the financial sector. Interns will collaborate with multi-functional departments including engineering, product management, design, and operations to evaluate product changes and shape business strategy.
The position is based out of the Menlo Park office with a requirement to work on-site at least three days each week. During the internship, participants will work alongside established team members on specific product initiatives such as prediction markets, trading tools, and portfolio margin. Responsibilities involve conducting exploratory data analyses, setting up and reviewing A/B tests, building metric dashboards, and presenting findings to organizational leaders.
Compensation is determined by geographic location and market factors, with a specified base rate of $44 per hour for Zone 1 regions such as Menlo Park. Candidates will engage in a high-performing environment that expects continuous dedication to data-informed product growth.
Responsibilities
- Collaborate with a team member on specific product lines such as Agentic Trading, Prediction Markets, Portfolio Margin, and Trading Products
- Conduct deep-dive analyses to discover product growth avenues and improve core business metrics
- Design, execute, and analyze A-B experiments alongside causal inference evaluations
- Define product performance metrics and construct scalable dashboards for monitoring
- Create data visualizations and narratives to present insights to leadership and colleagues
- Manage large-scale analytics projects to shape product strategy and drive business impact
Requirements
- Current enrollment in a full-time graduate degree program
- Proficiency in Python and SQL or other relevant programming languages
- Background in statistical analysis and machine learning
Qualifications
- Pursuing a degree in a quantitative discipline like mathematics, statistics, engineering, or natural science
- Expected graduation date in Winter 2027 or Spring 2028
- Prior experience working in financial technology
Core Skills
Benefits
- Hourly pay rate of $44 for candidates located in Zone 1
- Total rewards package that varies depending on region and entity
Frequently Asked Questions
What is the employment type for this role?
This is a full-time Data Science Intern position scheduled for the Summer 2027 term.
Where is the job located and is remote work permitted?
The position is based in Menlo Park, California, with an on-site requirement of at least three days per week.
What is the salary range for the internship?
The base pay for Zone 1 locations, which includes Menlo Park, is $44 per hour. Compensation for other locations can be discussed during the interview process.
What degree level is required to apply?
Applicants must be currently enrolled in a full-time graduate degree program in a quantitative field with an expected graduation in Winter 2027 or Spring 2028.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.