Data Scientist, Fraud Analytics & Technical Wri...

Enabling safe and rewarding digital lives for genuine people, everywhereWe make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.About The Team And RoleData Scientist - Fraud Analytics & Technical WritingJoin GBG's Go‑to‑Market Data Science & Analytics team, a newly established, high‑impact function shaping how we demonstrate value to customers and empower internal teams with actionable insights. As a Data Scientist - Fraud Analytics & Technical Writing, you'll analyze large, complex datasets to surface fraud patterns, translate findings into clear business narratives, and create high‑quality technical documentation that standardizes methods and accelerates adoption across the organization. You'll partner cross‑functionally with Sales, Product, and Operations, design dashboards that communicate trends, and influence roadmap and strategy—while building scalable, automated processes that elevate decision‑making and customer outcomesWhat You Will DoFraud Detection & Analysis

• Analyze large, complex datasets to detect patterns, anomalies, and emerging fraud trends
• Collaborate with internal teams to validate findings and refine detection strategies
• Translate key findings into clear, compelling insights that demonstrate solution value to prospective customers
• Support the development of standardized frameworks to quantify business impact across customer profiles

• Create and maintain high-quality technical documentation, including methodologies, workflows, and system processes
• Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences
• Ensure documentation is standardized, accurate, and easily accessible for internal teams

• Work closely with cross-functional teams to implement data-driven solutions
• Design dashboards and reports to communicate fraud trends and detection results effectively
• Provide regular updates and recommendations to stakeholders based on data-driven findings

• 2+ years of hands-on experience in data analytics, with demonstrated success in customer-facing teams or process automation roles
• Excellent technical writing and communication skills
• Strong proficiency in Python/R, SQL, and statistical analysis libraries (pandas, scikit-learn, etc.)
• Experience with data visualization tools (Quicksight, Tableau, Power BI, or similar)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data stack tools
• Master's degree in Data Science or related field preferred; PhD a plus

• Domain expertise in identity verification, fraud detection, and/or financial services
• Experience presenting technical findings to prospects or clients during sales processes
• Knowledge of predictive modeling and machine learning

• Experience analyzing customer data and translating technical findings into compelling business narratives
• Knowledge of statistics and ROI calculation frameworks
• Ability to create presentations that communicate value propositions to both technical and business stakeholders
• Familiarity with cross-functional collaboration processes