Student Analytics Fellows
The Wharton Analytics Fellows program unites Wharton MBAs, undergraduates, graduate students, and faculty members in the pursuit of a common goal: tackling out clients’ most complex challenges using the power of analytics.
Wharton Analytics Fellows is a highly selective fellowship program that allows motivated undergraduates, MBAs, and graduate students to put their analytics skills to the test in the real world. We partner with companies on semester-long consulting engagements; our goal is to help our clients solve their toughest data science problems. Through our partnerships with Wharton Customer Analytics, Wharton People Analytics, the Wharton Sports Business and Analytics Initiative, and Analytics at Wharton, students are given access to top companies and their data. The deliverables from these projects are put into practice by our clients, giving students the opportunity to see their work have a real impact. For more information contact firstname.lastname@example.org.
We have opportunities available for students of many different experience levels. Undergraduates with little real-world data science should consider applying to be a Junior Analyst; those with extensive coding and statistics experience may become Senior Analysts. For our applicants with the most leadership experience, becoming an Engagement Lead is a rewarding chance to guide a team over the course of a semester.
Wharton Analytics Fellows are given the rare opportunity to put their classroom skills into practice. WAF is a very selective program that demands strong technical skills and leadership abilities; those who prove themselves on our project teams will be given opportunities to advance in the organization and take leadership of projects. For those who are successful, WAF can be a multi-year experience that provides access to a community of the best analysts at the University.
|Business Lead||Extensive work and leadership experience, usually in business or consulting. MBAs and upperclassmen usually preferred. Exceptional communication and leadership abilities.|
|Technical Lead||High-level data science and programming skills. Often a PhD or MSE student with extensive experience in data science and statistics.|
|Senior Analyst||Advanced programming, statistics, and modeling skills. We expect 400+ level coursework in CIS or STAT in addition to project or work experience.|
|Junior Analyst||Intermediate data science skills, typically at the level of STAT 102 or 471. Willingness to learn and work hard.|
How a Penn/Wharton Student Team Is Helping the Barnes Foundation Reach Bigger Audiences
When the Barnes Foundation had questions about its attendance data, a team of Penn students answered through the Wharton Analytics Accelerator Challenge.
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We provided the Barnes with a model for predictive analysis, incorporating pricing, revenue projection, visitation and attendance behavior, products, and promotional offers.
We designed a Bayesian Graphical Model to understand an activist investor’s success and predict the result of proxy campaigns.
San Francisco Giants
We developed a predictive engine to improve ticket sales forecasting by more than 30%.
We drive player engagement and retention by predicting online behaviors and using customer-level data.
We identified drivers of employee attrition and provided recommendations to improve corporate diversity.
We leveraged performance data to unlock career path insights and kickstart the SEC’s People Analytics practice.
Get Your Company Involved
Interested in working with one of our data science teams? Reach out to our Wharton partners to inquire about partnering with us.