Undergraduate Placement - Data Science & Fraud Analytics

Job Title: Undergraduate Placement - Data Science & Fraud Analytics Company: LexisNexis Risk Solutions Job Category: Data Science Roles & Responsibilities: This 13\-month placement offers an opportunity to work within our Professional Services and Data Science teams, supporting fraud detection and risk analytics solutions used by global organisations across financial services, e\-commerce, and digital platforms. * Analyse large\-scale fraud and customer behaviour datasets to uncover actionable insights. * Build and optimise data pipelines using modern analytics platforms such as Snowflake and dbt. * Develop interactive dashboards and analytical applications using Streamlit. * Explore and apply machine learning techniques to fraud detection and risk management problems. * Use Copilot and AI\-powered agents to accelerate analysis, automate workflows and improve productivity. * Support the development of fraud detection strategies for global customers. * Work with consultants and data scientists to solve complex customer challenges. * Present findings and recommendations to both technical and non\-technical audiences. * Contribute to innovation projects that shape the future of fraud prevention and digital identity. You enjoy working with others, sharing ideas and contributing to a supportive and inclusive team environment. Learning \& Development: You'll receive structured support throughout the placement, including: Our goal is to help you develop both technically and professionally, preparing you for a future career in data science, analytics, fraud prevention or consulting. If you require additional support at any stage of the application process, please let us know what adjustments would help. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1\-855\-833\-5120\. Work Location: London, England, UK Availability: Full time

Undergraduate Placement Are you looking for a paid industrial placement as part of your degree and want to work on problems that genuinely matter? Whether you've used them through university projects, personal projects, hackathons or internships, we'd love to hear about your experience with technologies such as: Essential Requirements * Studying a STEM\-related degree, including Data Science, Computer Science, Mathematics, Statistics, Physics, Engineering, or another quantitative discipline. * Returning to university following the placement year. * Right to work in the UK for the duration of the placement. * Personal data science or AI projects * Open\-source contributions * Hackathons or competitions * Analytics portfolios or GitHub projects * Experience building applications or dashboards * Experience using Snowflake, dbt, Streamlit, machine learning or AI tools * Curious exploration of fraud, cybersecurity or risk\-related topics * An immersive onboarding programme * Technical training in data science, fraud analytics and consulting * Mentorship from experienced professionals * Exposure to customer\-facing projects * Opportunities to collaborate with data scientists, analytics engineers and consultants * Access to modern AI and analytics technologies used across the business You'll join a community of graduates, placement students and experienced professionals who are passionate about solving complex problems and delivering real value to customers. We value different perspectives and are committed to providing an inclusive recruitment experience. We welcome applications from candidates with diverse backgrounds and experiences. Benefits Key Skills: Data Science Salary: GBP 50000 - 74000 per yearly