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Wharton Analytics Fellows

The Wharton Analytics Fellows program unites Wharton undergraduates, MBAs, graduate students, and faculty members in the pursuit of a common goal: tackling our clients’ most complex challenges using the power of analytics.

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Wharton Analytics Fellows

Wharton Analytics Fellows is a highly selective fellowship program that allows motivated Wharton undergraduates, MBAs, and graduate students to put their analytics skills to the test in the real world. Fellows consult for our clients on their toughest data science problems, building them predictive models and presenting their findings to senior leadership. Our clients put these models into practice, giving students the opportunity to see their work have a real impact. For more information, contact whartonanalyticsfellows@wharton.upenn.edu.

Featured Partners

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Read About Past Projects

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Keeping Viewers Glued to Their Seats at the 2021 Analytics Accelerator

An MBA and undergraduate student team analyzed data from FOX Entertainment to help inform data-driven promotion strategies for marketing their TV shows.
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Students Offer Sweet Solutions to Data Problems at the Analytics Accelerator

How strong is the halo effect when it comes to selling candy and gum? This was among the many questions students set out to answer during the third annual Wharton Analytics Accelerator, presented by Wharton Customer Analytics (WCA).
Read article >>

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.
Read article »

Benefits

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Apply classroom knowledge in a real-world context

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Consult for some of the world’s biggest companies on extremely interesting projects

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Join a community of some of the best data scientists at the University and improve your skills

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Access exclusive recruiting opportunities with top firms in a variety of industries

Role Requirements

Business Lead
Business Leads are responsible for leading and managing the project team, coordinating with clients, and managing the finer details of the engagement. They are usually MBAs or upperclassmen and often have extensive work and leadership experience in business and consulting.

Technical Lead
Technical Leads are data science experts with high-level programming skills who are responsible for the technical aspects of the projects. They build the most complex models and mentor analysts throughout the project. Technical Leads are usually PhD or MSE students with extensive industry experience.

Senior Analyst
Senior Analysts are top undergraduates with advanced skills in programming, statistics, and modeling. They usually have high-level coursework in the CIS and STAT departments under their belt in addition to significant internship and project experience.

Junior Analyst
Junior Analysts typically have intermediate data science skills at roughly the level of STAT 102, STAT 477, and/or WUDAC’s Analytics 101 and 201 courses. They are notable for their willingness to learn and work hard, and many of them progress into leadership roles within WAF in later semesters.

Analytics Accelerator

Hosted by Wharton Customer Analytics, the Analytics Accelerator gives selected students the opportunity to work directly with leading companies to solve actual business challenges using the latest advances in machine learning and AI. To learn more about the projects, visit WCA’s website.

Who is Eligible
Penn and Wharton undergraduate, MBAs, and graduate students who show a demonstrated interest in analytics and possess relevant skills ranging from project management, to client relations, to technical expertise. Technical skills are not required but are a plus.

How to Apply
Applications open at the beginning of each semester.

Selected Projects

Barnes Foundation

We provided the Barnes with a model for predictive analysis, incorporating pricing, revenue projection, visitation and attendance behavior, products, and promotional offers.

Moelis

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%.

EA Games

We drive player engagement and retention by predicting online behaviors and using customer-level data.

L’Oreal

We identified drivers of employee attrition and provided recommendations to improve corporate diversity.

SEC

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 our data science teams? Reach out to our Wharton partners to inquire about partnering with us.

Wharton Customer Analytics

Customer Analytics

Helping companies understand how to better monetize the individual-level customer data through the development and application of new predictive models.

Wharton People Analytics

People Analytics

Advancing the practice of people analytics and evidence-based management to help individuals and organizations
thrive.

Sports Analytics and Business Initiative

Applying data-driven decision-making to find new understanding of the evolving sports business industry.