Data Science Summer Intern

About Experian

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.

Experian NA Innovation Lab is a R&D unit at Experian formed with the desire to work in collaboration with Experian's teams to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations manage customer relationships to make their businesses more profitable.

You will be part of the Experian North America R&D Data Lab concentrating on research and development of novel analytical solutions, new product prototyping, and new data asset evaluation and acquisition. This position requires background and knowledge in machine learning and data mining. Previous experience analyzing large datasets and developing data-driven statistical models is desirable.

Responsibilities of a Data Science Summer Intern

• Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources
• Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques
• Refine data manipulation and retrieval through the design of efficient data structures and storage solutions
• Innovate with tools designed for data processing and information retrieval
• Dissect and document vast datasets, analyzing and processing them to highlight patterns and insights
• Solve complex challenges by developing impactful algorithms
• Ensure model excellence by validating performance scores and analyzing ROI and benefits
• Articulate model processes and outcomes, documenting and presenting findings and performance metrics

Required Qualifications

• Return to school in the Fall of 2026 to complete degree program
• Currently enrolled in a PhD degree program in Machine Learning, CS, Electrical Engineering, Physics, Statistics, Applied Math, or other quantitative fields
• Experience in analytics, data mining, and/or predictive modeling
• Experience modifying and applying advanced algorithms to address practical problems
• Experience with deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and/or, reinforcement learning
• Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas
• Experience with large data analysis using Spark (pySpark preferred)
• Proficient in more than one of Python, R, Java, C++, or C

Benefits/Perks

• Fully remote
• Volunteer Time Off
• Great compensation
• Flexible work schedule
• Eligible for 401(k) participation in 90 days

Key skills/competency

• Machine Learning
• Deep Learning
• Data Mining
• Predictive Modeling
• Advanced Algorithms
• Big Data Analysis
• Spark (pySpark)
• Python
• Statistical Models
• Data Structures