FanDuel - Data Science Intern - Summer 2026, application via RippleMatch

<p><strong>This role is with <span data-sheets-root="1">FanDuel</span>. <span data-sheets-root="1">FanDuel</span>&nbsp;uses RippleMatch to find top talent.</strong></p> <div class="_root_ebtpc_737 _md_ebtpc_721 root"> <div id="c172-fae7-4870-bd0d" class="_root_hx9ag_709 _readonly_hx9ag_723 _disableBorder_hx9ag_957 _inputBase_hx9ag_713 _textInput_hx9ag_819 root"> <div class="_quillContainer_hx9ag_923 ql-container ql-snow ql-disabled"> <div class="ql-editor" data-gramm="false"> <p><strong><br><br><br><br></strong></p> <p></p> <p><strong>ABOUT FANDUEL&nbsp;</strong></p> <p>FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.</p> <p>In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.</p> <p>The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.</p> <p>FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).</p> <p><strong>THE POSITION</strong></p> <p>Our roster has an opening with your name on itFanDuel is looking for a Data Science Intern who will join and support the centralized Data Science team.</p> <p>In this role you will support the development and implementation of advanced models focused on enhancing customer experiences, while deepening the understanding of user behavior across marketing, product, and analytics.</p> <p>Some level of experience in personalization methods, ranking algorithms, and applied machine learning is highly valued. This role requires the ability to take ownership of open-ended, ambiguous problems, evaluate multiple approaches, and support with the delivery of production-ready solutions that directly impact the customer journey.</p> <p>In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.</p> <p><strong>THE GAME PLAN</strong></p> <p>Everyone on our team has a part to play</p> <ul> <li> <p>Support with the development and deployment of machine learning models to drive personalized recommendations and user experiences across business units</p> </li> <li> <p>Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions</p> </li> <li> <p>Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer</p> </li> <li> <p>Support projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making</p> </li> <li> <p>Support the integration and deployment of cross-functional and cross-organizational projects, developing process improvements</p> </li> <li> <p>Stay up to date on the latest advancements in data science and leverage cutting edge technology</p> </li> <li> <p>Learn from, brainstorm with, and enable others within the DS team and broader Data organization</p> </li> </ul> <p><strong>THE STATS</strong></p> <p>What we’re looking for in our next teammate</p> <p><strong>Required Qualifications:</strong></p> <ul> <li> <p>Must be planning for bachelor's degree completion between August 2026 –June 2028, in a technical or STEM field e.g., computer science, natural science, Machine Learning, Engineering, applied physics, MIS, etc.</p> </li> <li> <p>Analytical and quantitative skills, with proficiency in Python and SQL</p> </li> <li> <p>Must have U.S. Work Authorization and does not require employer sponsorship now or in the future</p> </li> <li> <p>Must be in commutable distance from or willing to relocate to designated office• Must be willing to be in office 2+ times per week</p> </li> </ul> <p><strong>Preferred Qualifications:</strong></p> <ul> <li> <p>Expected Master’s degree completion between August 2026-June 2027, in a technical or STEM field</p> </li> <li> <p>Prior classroom or workplace experience related to data science</p> </li> <li> <p>Knowledge of computer science fundamentals</p> </li> <li> <p>Experience with machine learning modeling</p> </li> <li> <p>Able to communicate technical concepts simply and successfully, to both technical and non-technical audiences</p> </li> <li> <p>Experience working well in a team-oriented environment</p> </li> <li> <p>Prior experience working in a heavily regulated industry is beneficial</p> </li> </ul> <p><strong>Other:</strong></p> <ul> <li> <p>Excited to learn about building and using models to help create production level products and tools</p> </li> <li> <p>You take ownership for your tasks and see features through from start to finish</p> </li> </ul> <p><strong>PLAYER BENEFITS</strong></p> <p>We treat our team right</p> <p>FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.</p> <p></p> <p>&nbsp;</p> </div> </div> </div> </div>