Undergraduate Placement - Data Science & Fraud Analytics

Final date to receive applications January 2027 START DATE July 2027 LOCATION London (Hybrid) DURATION 13 months

Ready to take on real-world challenges? Are you looking for a paid industrial placement as part of your degree and want to work on problems that genuinely matter? At Lexis Nexis Risk Solutions, you'll join an analytics team that helps some of the world's largest organisations combat fraud, reduce risk and make smarter decisions through advanced analytics, machine learning and digital identity intelligence.

We're looking for curious, ambitious students who enjoy tackling complex problems, working with data and learning new technologies. If you thrive on challenges and want to apply your skills to real customer problems at scale, we'd love to hear from you.

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. Rather than working on theoretical projects, you'll gain hands‑on experience delivering solutions that have a measurable business impact. You'll work alongside data scientists, fraud analysts, data engineers and consultants to develop insights, optimise products and help customers stay ahead of increasingly sophisticated fraud threats.

You will have access to modern cloud-based technologies and AI-assisted tools, working with large-scale datasets and real-world fraud challenges from day one.

• 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.

• Love Solving Difficult Problems:
  You enjoy tackling challenges that don't have obvious answers. You are curious, analytical and willing to experiment, learn and adapt.
• Have Strong Analytical
  
  Skills:
  
  You can interpret data, identify patterns and think critically about business problems.
• Are Passionate About Data and Technology:
  You're excited by the opportunity to work with modern data platforms, cloud technologies and AI tools.
• Enjoy Learning New Technologies:
  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:
  Python SQL Snowflake dbt Streamlit Machine learning frameworks Generative AI tools Copilot and AI agents Data visualisation platforms
• Have an Interest in Fraud, Risk or Cybercrime:
  You are interested in understanding how fraud evolves and how analytics, data science and AI can be used to combat increasingly sophisticated threats.
• Are Collaborative Team Players:
  You enjoy working with others, sharing ideas and contributing to a supportive and inclusive team environment.

• Studying a STEM-related degree, including Data Science, Computer Science, Mathematics, Statistics, Physics, Engineering, or another quantitative discipline.
• Returning to university following…