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# Data Science Expert - Emerging Fraud Risk Lead

- **Company:** The PNC Financial Services Group, Inc.
- **Location:** Farmers Branch, TX, United States
- **Experience:** Expert
- **Salary:** $133,000.0 - $217,700.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Cluster Analysis, Data Mining, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, NumPy, SQL Databases, Apache Spark, Model Validation, Pandas, Pyspark, Scikit Learn, Data Analytics, Xgboost
- **Published:** October 19, 2026
- **Apply:** https://www.thejobnetwork.com/job/962bc2c0-f189-4a99-b458-848ac057560b/data-science-expert-emerging-fraud-risk-lead

## About the Role

* Experience in fraud analytics, data science, machine learning, or risk management, preferably within Credit Card, Lending, or Financial Services.
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 * Experience using Spark/PySpark to process large-scale datasets and develop scalable analytical and machine learning solutions in a production environment.
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 * Advanced experience using SQL, Python, and data science libraries to extract, analyze, and model large datasets in support of fraud detection and risk management initiatives.
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 * Hands-on experience developing, testing, and validating machine learning models using tools such as Scikit-learn, XGBoost, LightGBM, Pandas, and NumPy, or comparable technologies.
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 * Strong foundation in statistics, experimentation, and model validation.
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 * Proven ability to develop and deploy machine learning models and analytical solutions that identify emerging risks and drive measurable business outcomes.
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 * Experience applying advanced analytical techniques, including anomaly detection, predictive modeling, clustering, behavioral analytics, and network/graph analysis to uncover fraud patterns and validate risk hypotheses.
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 * Strong analytical and problem-solving skills, with experience investigating complex fraud trends and translating findings into actionable recommendations.
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 * Demonstrated leadership through influence, including leading analytical initiatives and driving results across cross-functional teams without direct management responsibility.
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 * Strong communication and stakeholder management skills, with the ability to influence technical and business audiences and present recommendations to senior leaders., Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position., Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning, Machine Learning (ML), PySpark, Python (Programming Language), Statistics\n, Work ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, or PhD is desirable. Industry experience is typically 8 + years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.\n

## Description

This role will initially focus on Credit Card and Lending fraud and will serve as a critical bridge between Fraud Monitoring, Incident Response, Countermeasures Analytics, and Fraud Strategy teams.