Job Description
LexisNexis Risk Solutions is seeking a strategic and business-oriented Senior Data Scientist to drive Fraud Prevention Score initiatives across Brazil, LATAM, EMEA, and APAC. This role is responsible for advancing analytical capabilities, accelerating fraud prevention innovation, and delivering scalable, governance-driven solutions that support digital identity, risk intelligence, and next-generation fraud strategies. The ideal candidate combines strong technical expertise with business acumen, stakeholder management, and the ability to translate complex analytical initiatives into measurable business impact. Key Responsibilities Lead the design, development, validation, and monitoring of fraud prevention models, machine learning solutions, and analytical frameworks. Drive analytical initiatives supporting Fraud Next Generation strategies, aligning data science capabilities with product, technology, and commercial objectives. Partner cross-functionally with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions. Identify opportunities to enhance fraud detection, entity resolution, identity verification, and data intelligence capabilities. Support the expansion of Decision Trust solutions through customized analytics, proof of concepts, customer engagements, and production-ready implementations. Provide technical leadership and mentorship to other data scientists, promoting analytical best practices and knowledge sharing. Ensure alignment with enterprise governance standards, Responsible AI principles, and regulatory requirements. Communicate analytical findings and recommendations to technical and non-technical stakeholders, including senior leadership. Contribute to the long-term analytical roadmap, supporting innovation, product development, and scalable growth initiatives. Evaluate new data assets, analytical methodologies, and emerging technologies that can improve fraud prevention performanc
