Data Science Intern (Summer 2027)

Unchain Data; Menlo Park (CA); Hybrid; USD 50,000 - 71,000; Full time

Job summary

Robinhood is building the future of finance. The Data Scientist Intern role on the Brokerage Data Science team offers exposure to product, engineering, user research, design, marketing, finance, and operations, with impact on the roadmap and trading experience.

This role is based in our Menlo Park office, with in-person attendance expected. We are looking for a graduate student in a quantitative field who can apply Python and SQL, statistical analysis, and machine learning to accelerate product

Qualifications

• 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.
• Outstanding problem-solving skills and the ability to think critically and creatively.
• Strong programming skills in Python & SQL, or other relevant languages.
• Experience with data visualization tools and techniques.
• Ability to successfully implement projects in a fast-paced environment.

Responsibilities

• Partner directly with a current team member on a specific product line and drive product growth opportunities.
• Perform deep-dive analyses to identify growth opportunities and improve core metrics.
• Design, plan, implement, and analyze A/B experiments and causal inference analyses.
• Gain expertise in predictive and uplift modeling and experimentation design.
• Define and maintain key product metrics and build scalable dashboards for decision-making.
• Create data visualizations and narratives to communicate insights to partners and leadership.
• Lead large-scale analytics projects to uncover user insights and inform strategy.

Skills

Python

SQL

Data Science

Statistics

Machine Learning

Problem solving

Communication

Fast-paced

Education

Graduate degree in quantitative field

Tools

Visualization tools

Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products.

As a Data Scientist Intern on the Brokerage Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers.

We’re looking for a dedicated and ambitious graduate student to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users.

This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Partner directly with a current team member on a specific product line (e.g., Agentic Trading, Prediction Markets, Portfolio Margin, Trading Products, Trading Tools, Robinhood Social, Legend, etc).


• Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.


• Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.


• Gain expertise in predictive modeling, uplift modeling, causal inference, and experimentation design.


• Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making.


• Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership.


• Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.


• Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes.


• Assist with established methods, standard approaches, and promote a data-informed culture within the organization.

What you bring

• 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.


• Outstanding problem-solving skills and the ability to think critically and creatively.


• Strong programming skills in Python & SQL, or other relevant languages.


• 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 is preferred.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected hourly range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$44-$44 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.