Quantum Computing Research Intern

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Experian. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.

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.

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
• 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
  
  

Benefits/Perks

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

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

Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.

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.

#EarlyCareers

If you have questions about this posting, please contact support@lensa.com