• Contribute to the development of AI-powered product features, from prototyping and experimentation through production delivery, deployment, and iteration • Build and improve AI/machine learning, especially LLM-based systems (e.g., copilots, conversational workflows, or agent-style experiences) • Work with product and design teams to understand user needs and translate them into practical AI-driven solutions • Partner with engineers, designers, and other data scientists to build, test, and refine AI features, balancing model performance, system reliability, and user experience • Help define and analyze metrics to evaluate model performance, product usage, and customer impact, and use data to guide improvements

Enabling safe and rewarding digital lives for genuine people, everywhere We 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 role Data Scientist – Fraud Analytics & Technical Writing Join 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 outcomes What you will do Fraud 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   Technical Documentation - 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   Collaboration & Reporting - 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

Enabling safe and rewarding digital lives for genuine people, everywhere We 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 role Data Scientist – Fraud Analytics & Technical Writing Join 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 outcomes What you will do Fraud 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   Technical Documentation - 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   Collaboration & Reporting - 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

Enabling safe and rewarding digital lives for genuine people, everywhere We 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 role Data Scientist – Fraud Analytics & Technical Writing Join 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 outcomes What you will do Fraud 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   Technical Documentation - 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   Collaboration & Reporting - 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