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.
Job DescriptionAs an ML / AI Software Engineer Intern, you will work directly under the VP of Innovation Engineering on the Innovation team. You'll gain hands-on experience with the latest technologies in machine learning, generative AI, and statistical modeling. You'll also collaborate with experienced engineers and contribute to real-world projects.
Responsibilities:
- Support the development, training, and evaluation of ML/AI models using Python and industry-standard frameworks
- Apply supervised learning techniques such as Logistic Regression, Gradient Boosting Machines (GBM), and Random Forests to solve classification and regression problems
- Explore and implement Generative AI models (e.g., transformers, diffusion models) for use cases such as text generation, summarization, or synthetic data creation
- Analyze structured and unstructured datasets using pandas, NumPy, and matplotlib/seaborn for data wrangling and visualization
- Use scikit-learn, XGBoost, and TensorFlow/PyTorch to build and validate predictive models
- Contribute to software development projects using Python, Java, or Kotlin
- Present findings, model performance, and project outcomes to teams
- Participate in code reviews, team meetings, and brainstorming sessions to support collaborative innovation
- Currently enrolled in a Bachelor's or higher in Computer Science, Engineering, or a related field
- Return to school in Fall 2026 to complete degree program
- Experience with Python programming and familiarity with libraries such as pandas, scikit-learn, NumPy, and matplotlib
- Exposure to machine learning concepts and algorithms, including classification, regression, and model evaluation
- Familiarity with Generative AI concepts and frameworks (e.g., Hugging Face Transformers, OpenAI API, or similar)
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. Innovation is an important part of Experian's DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society.
During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity.
We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime.
For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.
Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.
About Experian:
Bringing data to life requires creativity, passion, flexibility and expertise.
We want you to share in our success. That's why we offer rewards that recognise great performance.
Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career.
Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
