PhD Summer Intern – Machine Learning & Data Mining

Job Description

About the Job: PhD Summer Intern – Machine Learning & Data Mining

Company Overview: Experian
Experian is a global data and technology company dedicated to powering opportunities for people and businesses worldwide. We leverage a unique combination of data, analytics, and software to redefine lending practices, prevent fraud, simplify healthcare, create digital marketing solutions, and gain insights into various markets. Millions also benefit from our assistance in achieving financial goals and saving time and money. We operate across diverse markets including financial services, healthcare, automotive, agrifinance, and insurance.

Experian is committed to investing in its 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), we boast a team of 25,500 people across 32 countries, with corporate headquarters in Dublin, Ireland.

The Experian Summer Internship Program
Rooted in our ‘People First’ philosophy, our Summer Internship Program offers students across the country the chance to apply their education to real-world challenges through meaningful, hands-on projects. Interns experience firsthand our commitment to personal and professional development. Experian has been proudly named one of the Top 100 Internship Programs three years in a row.

The Team: Experian NA Innovation Lab / R&D Data Lab
You will be part of the Experian North America R&D Data Lab, an R&D unit focused on research and development of novel analytical solutions, new product prototyping, and new data asset evaluation and acquisition. This lab enhances client relationships and acquires strategic datasets in collaboration with other Experian teams. This position specifically concentrates on these areas, requiring a strong background and knowledge in machine learning and data mining. Previous experience analyzing large datasets and developing data-driven statistical models is highly desirable.

Responsibilities:
• 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.

Qualifications:
• Must be returning to school in the Fall of 2026 to complete your degree program.
• Currently enrolled in a PhD degree program in Machine Learning, Computer Science, 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 position.
• Volunteer Time Off.
• Great compensation.
• Flexible work schedule.
• Eligible for 401(k) participation in 90 days.

Experian’s Culture & Awards:
At Experian, our people and culture truly set us apart. We are deeply committed to creating an environment where everyone feels they belong and can excel. We focus on what truly matters: inclusion, authenticity, work/life balance, professional development, wellness, collaboration, and recognition. Our people-first approach has earned us global recognition, including:
• World’s Best Workplaces™ 2024 (Fortune Top 25)
• Great Place To Work™ 2025 in 26 countries
• Glassdoor Best Places to Work 2024, among others.

We invite you to explore your potential with a team that’s invested in your growth. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.

Compensation:
Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state, and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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