Note: The job is a remote job and is open to candidates in USA. Experian is a global data and technology company, powering opportunities for people and businesses around the world. They are seeking a Data Modeling Expert to join their Fraud Analytics Consulting team, where the individual will work with TelCo clients to develop fraud detection models and provide analytical insights.
Responsibilities
- Work directly with TelCo clients to conduct investigative analytics, identify emerging fraud trends, and develop insights that only cross-industry consortium data can reveal
- Co-build custom fraud detection models with client teams, guiding them through Experian's proprietary data, analytics environment, and fraud detection methodologies
- Train and onboard clients on the platform, helping them build familiarity and confidence with Experian's analytics environment
- Translate ambiguous client questions and needs into well-defined hypotheses and analytical plans, then execute them independently and communicate findings clearly
- Define and implement a repeatable, scalable proof-of-value process that demonstrates the consortium's value to prospective and existing clients
- Build reusable tools, templates, and analytical frameworks that enable consistent, efficient delivery as the consortium grows
- Build confidence and credibility with client analysts, client executives, and internal Experian product and sales partners
- Collaborate with Experian's product team as an expert user, providing direct input to influence the development roadmap
Skills
- 6+ years of experience in data science, analytics, or a related field
- Degree (undergraduate or graduate) in Statistics, Econometrics, Electrical Engineering, or another quantitative discipline, or an equivalent combination of education and experience that shows quantitative reasoning and analytical ability
- Deep expertise in analytics and machine learning, with hands-on experience across the full modeling lifecycle; preference for experience in fraud, credit, or TelCo analytics
- Investigative analytics mindset - experienced at identifying patterns, forming hypotheses, and drawing meaningful conclusions from large-scale datasets
- Demonstrated capability to operate independently, translate ambiguous client needs into well-defined hypotheses, and execute clear analytical plans from start to finish
- Experience working directly with clients or business partners in a consulting or advisory role, building confidence and credibility across technical and executive audiences
- Experience designing or contributing to scalable analytical processes, tools, or frameworks
- Strong Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas; familiarity with large-scale data processing frameworks and cloud platforms, especially Spark and AWS
- Willingness to travel periodically for on-site client workshops and engagements
Benefits
- 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.
Company Overview
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