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 performance.
- Advanced experience in Data Science, Advanced Analytics, Machine Learning, or related quantitative fields.
- Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention.
- Expertise in predictive modeling, machine learning, statistical analysis, and large-scale data environments.
- Experience developing and deploying analytical solutions in production environments.
- Strong stakeholder management and communication skills, with the ability to influence decision-making across technical and business teams.
- Experience working within global and matrixed organizations.
- Ability to balance strategic thinking with hands-on analytical execution.
- Advanced English communication skills required.
- Experience with identity intelligence, contributory data ecosystems, fraud prevention platforms, or risk decisioning solutions is highly preferred.
- Strategic and business-oriented problem solver.
- Strong technical leader and trusted analytical advisor.
- Collaborative, proactive, and results-driven.
- Comfortable operating in fast-paced, cross-functional, and international environments.
- Passionate about innovation, continuous learning, and delivering measurable business outcomes.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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Skills Required
- Advanced experience in Data Science, Advanced Analytics, Machine Learning, or related quantitative fields.
- Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention.
- Expertise in predictive modeling, machine learning, statistical analysis, and large-scale data environments.
- Experience developing and deploying analytical solutions in production environments.
- Strong stakeholder management and communication skills, with ability to influence technical and business teams.
- Experience working within global and matrixed organizations.
- Advanced English communication skills.
- Experience with identity intelligence, contributory data ecosystems, fraud prevention platforms, or risk decisioning solutions.
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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