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. Experian also assists millions of people in realizing their financial goals and saving time and money.

Operating across diverse markets from financial services to healthcare, automotive, agrifinance, and insurance, Experian invests in people and advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), with 25,500 people across 32 countries and corporate headquarters in Dublin, Ireland, Experian is committed to growth and opportunity.

Experian Summer Internship Program

The Experian Summer Internship Program provides students with the chance to apply their education to real-world challenges through meaningful, hands-on projects. Rooted in Experian's 'People First' philosophy, interns experience firsthand a commitment to personal and professional development. Consistently recognized as one of the Top 100 Internship Programs three years in a row, Experian invites students to explore their potential within a team invested in their growth.

About the Experian NA Innovation Lab

The Experian NA Innovation Lab is an R&D unit focused on enhancing client relationships and acquiring strategic datasets in collaboration with Experian's teams. Experian is a global leader in providing information, analytical tools, and marketing services. This specific internship is within 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. A strong background in machine learning and data mining, along with previous experience analyzing large datasets and developing data-driven statistical models, is highly desirable for this position.

Responsibilities of a Data Science Summer Intern

• Create advanced machine learning analytical solutions from diverse structured and unstructured data.
• Unearth data value by selecting and applying appropriate machine learning, deep learning, and processing techniques.
• Refine data manipulation and retrieval through designing efficient data structures and storage solutions.
• Innovate with tools for data processing and information retrieval.
• Dissect and document vast datasets, analyzing and processing them for 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.

Qualifications

To be eligible for this Data Science Summer Intern position, candidates must:

• Return to school in the Fall of 2026 to complete their degree program.
• Be currently enrolled in a PhD degree program in Machine Learning, CS, Electrical Engineering, Physics, Statistics, Applied Math, or other quantitative fields.
• Possess experience in analytics, data mining, and/or predictive modeling.
• Have experience modifying and applying advanced algorithms to address practical problems.
• Be familiar with deep learning methodologies (CNN, RNN, LSTM, attention models, etc.), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and/or reinforcement learning.
• Have 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).
• Be proficient in more than one of Python, R, Java, C++, or C.

Benefits & Perks

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

Experian's Culture & Values

Experian's people and culture are core to its identity. The company is committed to fostering an environment where everyone belongs and can excel, emphasizing inclusion, authenticity, work/life balance, development, wellness, collaboration, and recognition. This people-first approach has earned Experian global recognition as one of the World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024.

Key skills/competency

• Machine Learning
• Deep Learning
• Data Mining
• Predictive Modeling
• Spark (PySpark)
• Python
• Algorithm Development
• Statistical Models
• Data Analysis
• Quantitative Research