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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.

You'll have opportunity to:

• Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
• Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
• Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
• Design and improve acquisition strategies, including segmentation, decision rules, and cut-off strategies
• Translate findings into applicable business recommendations for partners
• Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring.
• Interpret results of analyses, identify trends and issues and recommend alternatives to support our goals.
• Communicate with and deliver presentations to end-users on analysis results.
• Produce implementation plans and participate in audits to help implement statistical models and other decision tools.
• Help develop analytic and data products and services, and the enhancement of current processes and offerings.

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
• 8+ years' experience with statistical and quantitative analysis, Machine Learning, Statistical Modeling including large-scale data manipulation in Credit Lending industry
• Proficiency in Python (required) and SQL, with experience building scalable pipelines
• Knowledge of statistical models and practical experience in predictive model development (Python, R, SAS).
• Domain experience in financial services, with exposure to credit lending, credit risk modeling, and credit decisioning lifecycle (e.g., origination, underwriting, limit setting, portfolio monitoring)
• Experience with model deployment and productionization, including CI/CD pipelines, version control, and integration of models into scalable, real-time or batch decisioning systems
• Experience joining large datasets from multiple data sources, creating complex logic for data cleaning, outlier detecting, and refining business rules to validate and monitor the model forecast
• Experience solving complex and unique problems

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base 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. You will be also eligible for a variable pay opportunity.

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.

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://myexperianbenefits.com/