Undergraduate Placement - Data Science & Fraud Analytics at Nextens | GB | Rezi

Undergraduate Placement - Data Science & Fraud Analytics at Nextens

Undergraduate Placement - Data Science & Fraud Analytics

Nextens · GB

2 weeks ago

Undergraduate Placement - Data Science & Fraud Analytics

Nextens · GB

16 days ago
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About the Role

LexisNexis Risk Solutions is seeking curious, ambitious students for a 13-month paid industrial placement. You will join an analytics team that helps global organizations combat fraud, reduce risk, and make smarter decisions using advanced analytics, machine learning, and digital identity intelligence. This role offers hands-on experience delivering solutions with measurable business impact, working with modern cloud technologies and AI-assisted tools on large-scale datasets.

Responsibilities

  • Analyze large-scale fraud and customer behavior datasets to uncover actionable insights.
  • Build and optimize 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.

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.

Skills

  • Python
  • SQL
  • Snowflake
  • dbt
  • Streamlit
  • Machine learning frameworks
  • Generative AI tools
  • Copilot and AI agents
  • Data visualization platforms

Location

  • London

Work Type

  • Hybrid
  • Full-time

Experience Level

  • Undergraduate Placement

Education Level

  • STEM-related degree

Benefits

  • Hybrid working
  • 25 days annual leave, plus the option to buy more
  • Graduate and placement networking events
  • Volunteer and community engagement opportunities
  • Wellbeing and mental health support

About the Company

  • LexisNexis Risk Solutions combines innovation, collaboration, and continuous learning. They encourage challenging ideas, exploring new technologies, and taking ownership of meaningful work. They foster a community of graduates, placement students, and experienced professionals passionate about solving complex problems and delivering real value to customers.

Equal Opportunity

  • We value different perspectives and are committed to providing an inclusive recruitment experience. We welcome applications from candidates with diverse backgrounds and experiences.
  • We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.