The FamilySearch Fraud Prevention Intern will work with data and analytics to improve the fraud prevention process. Strong analytical and problem-solving skills with the ability to interpret complex datasets and identify meaningful trends, anomalies, or suspicious behaviors. Proficiency or coursework experience in programming languages such as Python, SQL, R, or similar analytical tools. Familiarity with exploratory data analysis (EDA), statistical analysis, and data visualization techniques. Paid Interns are qualified while enrolled in an educational institution and for one year following graduation. They must sign a Paid Internship Engagement Letter. Assist in managing Action Plans by preparing reports, conducting exploratory data analysis (EDA), tracking progress, and documenting findings. Support fraud analytics initiatives by identifying unusual patterns, behaviors, and anomalies in complex datasets. Help develop and test statistical and machine learning methods for fraud and anomaly detection, and contribute ideas for improving existing approaches. Perform data cleaning, transformation, validation, and quality assurance activities on large datasets. Assist with ETL (Extract, Transform, Load) processes and help support data pipelines and analytical workflows. Develop dashboards, summaries, visualizations, and recurring reports for management and operational teams. Acquire and organize data from multiple primary and secondary data sources while maintaining data integrity. Conduct behavior analysis and trend analysis to support investigations and operational decision-making. Support field investigation follow-up by organizing, reviewing, and summarizing findings from investigative documentation. Collaborate with team members to prioritize analytical tasks, contribute process improvement ideas, and support ongoing projects. Document analytical methods, findings, and recommendations for both technical and non-technical audiences. Participate in research and development of new fraud prevention and process improvement opportunities.