Expert Data Scientist, AI Fraud Applications

Experian; United States; Hybrid; USD 137,000 - 247,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401K with company match

Flexible work environment

Job summary

Experian is seeking an Expert Data Scientist to advance analytics and AI solutions for fraud applications within financial services and digital businesses. This individual contributor role sits in a hybrid environment and reports to the Sr. Manager of Fraud Analytics.

The ideal candidate has a Master’s degree in a quantitative field, 5+ years of data science experience, and hands-on Python and SQL skills. You will partner with product and engineering to prototype and scale innovative analytics.

Qualifications

• Master's degree in a quantitative field.
• 5+ years in data science or advanced analytics.
• Hands-on Python and SQL experience.
• Experience with large datasets and ML solutions.
• Experience in financial services, e-commerce, fraud, or data-intensive environments.

Responsibilities

• Apply advanced statistical, ML, and analytical techniques to complex problems.
• Translate business problems into hypotheses, experiments, models, and prototypes.
• Identify opportunities where data science and AI can create value.
• Shape data strategy and data assets for experimentation and scalable solutions.
• Prototype and evaluate new approaches; compare with existing methods.

Skills

Machine learning

Statistics

Data visualization

Advanced analytics

Model evaluation

Education

Master's degree in Computer Science / Data Science / Statistics

Tools

Python

SQL

Jupyter

Pandas

Scikit-learn

Job description

Expert Data Scientist, AI Fraud Applications

• Full-time
• Employee Status: Regular
• Role Type: Hybrid
• Job Posting - Salary Range: $137,102 - $246,784
• Department: Analytics
• Flexible Time Off: 20 Days
• Schedule: Full Time
• Shift: Day Shift
• Compensation: USD 137,102 - USD 246,784 - yearly

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:

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.

• Master'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.
• 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

• 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

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 WorkplacesTM 2025 (Fortune Global Top 25), and Great Place To WorkTM in 26 countries to name a few.

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.