Job Description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

At Experian, we believe great work happens when people come together. We're focused on attracting talent in and around our designated hub locations who are open to collaborating with colleagues in person. Aligning employees to these talent markets helps foster collaboration, strengthen team connections, and support long-term career growth within Experian. This is a hybrid position and you will reside in or near one of our collaboration hubs:

Costa Mesa & San Jose, CA · Allen & Austin, TX · Franklin, TN · New York, NY · Schaumburg, IL · Washington, DC · Atlanta, GA · Boston, MA · Seattle, WA

Job Description

Overview

Experian's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms.

We are looking for an Expert Data Scientist to help develop analytics and AI solutions for financial services, e-commerce, and other data-rich digital businesses. You will combine data science fundamentals with exploration and experimentation.

You will work across Analytics, Product, and Engineering to identify opportunities, shape the data strategy needed to support them, develop and evaluate new approaches, and help move promising concepts from idea to prototype. This is an individual contributor position and you will report into the Sr. Manager of Fraud Analytics

What You'll Do

• Apply advanced statistical, machine-learning, and analytical techniques to complex business problems.
• Translate ambiguous business problems into structured hypotheses, experiments, models, and prototypes.
• Identify new opportunities where data science and new AI technologies can create value.
• Help shape data strategy for new analytics and AI capabilities by identifying the data, derived features, and data assets needed to support experimentation, development, and scalable solutions.
• Prototype and evaluate new approaches, comparing them with existing methods and identifying both strengths and failure modes.
• Develop evaluation criteria covering model or solution quality, reliability, value, operational practicality, and risk.
• Partner with Product, Engineering, and business teams to move promising analytical concepts toward practical applications.
• Stay current with new technologies, including generative and agentic AI, and evaluate their applicability to business problems.
• Share insights, mentor junior members of the team and help build a culture of experimentation, innovation, and learning.

Qualifications

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline, or equivalent relevant experience.
• 5+ years of professional experience in data science, machine learning, statistical modeling, or advanced analytics consistent with a senior-level role.
• Hands-on programming experience with Python and SQL.
• Experience developing and evaluating statistical or machine-learning solutions using large datasets.
• Experience translating business problems into analytical solutions, models, proofs of concept, or prototypes.
• Master's degree in a quantitative or technical discipline.
• Experience in financial services, e-commerce, fraud, identity, credit risk, decisioning, or other data-intensive digital environments.
• Experience developing prototypes, analytical tools, or new capabilities beyond traditional model development.
• Exposure to generative AI, LLMs, AI agents, or other new AI technologies
• Experience with modern cloud analytics platforms.
• #LI-Hybrid

Additional Information

Benefits/Perks:

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
• Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning. We have won World's Best Workplaces™ 2025 (Fortune Global Top 25), and Great Place To Work™ in 26 countries to name a few.

Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of a recruitment process.

Our compensation reflects the cost of labor across several U.S. geographic markets. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be eligible for a variable pay opportunity and a comprehensive benefits package.

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.