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Data Scientist, Fraud Analytics & Technical Writing (3951)

100% remote Flexible hours Hiring now

Enabling safe and rewarding digital lives for genuine people, everywhere We reputed company 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 reputed company of truth for identity and address verification. With over 30 years of experience behind us reputed company 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 reputed company internal teams with actionable insights. As a Data Scientist – Fraud Analytics & Technical Writing, you’ll analyze large, reputed company 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 reputed company decision‑making and customer outcomes What you will do Fraud Detection & Analysis

  • Analyze large, reputed company 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 reputed company 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

Requirements

Skills we are looking for Technical Foundation

  • 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 reputed company field preferred; PhD a plus

Preferred Qualifications

  • 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

Business Acumen

  • 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

Benefits

To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great reputed company to work, drop an email to [email protected] and we’ll be in touch. You can also find out more about careers at GBG and reputed company out our reputed company opportunities at gbgplc.com/careers. Apply tot his job Apply To this Job

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