Data Scientist

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create 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 to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Description

Experian is looking for a Data Scientist to join our Global Analytics team within Experian Software Solutions. This is an exciting opportunity for someone to work on impactful AI and machine learning projects, contribute to solutions, and grow alongside experienced scientists and engineers. You will help build and support machine learning models and AI systems that power Experian's products and services. You will work remotely and report to the Senior Director of Analytics and AI.

Main Responsibilities:

• Support the deployment and monitoring of AI and machine learning solutions in production environments.
• Collaborate with teams including the engineering, product, and research teams to translate the latest research into impactful solutions.
• Architect machine learning and AI solutions and help manage projects to bring whiteboarding to reality.
• Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.

Qualifications

• You will have Bachelor's degree in Computer Science, Data Science, AI/ML, or a related field.
• You will have either a formal education of, or a year or more experience working with Python or other machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• You will understand modern language models (Transformers, GPT APIs, SLMs, RLHF) and agent-based architectures either from formal education or hands-on experience.
• You will have exposure either from a formal education or hands-on experience with core machine learning concepts and processes (such as XGBoost, Generative Adversarial Networks, hyperparameter tuning, clustering, and graph algorithms).

Additional Information

Benefits/Perks:

• Flexible work environment and working fully remote
• Great compensation package and bonus plan
• Core benefits including full medical, dental, vision, and matching 401K
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Remote

Client-provided location(s): Flexible / Remote, Reedley, CA

Job ID: Experian-744000092325158

Employment Type: FULL_TIME

Posted: 2025-11-08T18:33:38