Data Science Summer Intern (Remote & Paid)

Experian•Madison, MS

42d•Remote

About The Position

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in realizing their financial goals and saving time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. We're focused on powering opportunities, which is why the Experian Summer Internship Program gives students across the country the chance to apply their education to real-world challenges through meaningful, hands-on projects. Rooted in our 'People First' philosophy, our interns experience firsthand our commitment to personal and professional development. Proudly named one of the Top 100 Internship Programs three years in a row, we invite you to join us and explore your potential with a team that's invested in your growth. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing.

Requirements

Currently enrolled in a PhD degree program in CS, Physics, or a related field
Return to school in Fall 2026 to complete degree
Experience in analytics, data mining, or predictive modeling
Experience with regression, Neural Network, or ensemble methods
Proficient in Python, R, Java, C++, or C
Experience with Generative AI and algorithms/applications of Quantum Computing

Responsibilities

Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues
Design data structures and storage schemes for efficient handling
Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting
Conduct Return on investment and benefit analysis
Document and present model process and model performance