Senior Real-Time Fraud Data Scientist in London

Senior Real-Time Fraud Data Scientist in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
LexisNexis Risk Solutions

At a Glance

  • Tasks: Build and operationalise machine learning models to combat real-time fraud.
  • Company: Join LexisNexis Risk Solutions, a leader in risk management.
  • Benefits: Enjoy competitive salary, flexible work options, and career development opportunities.
  • Other info: Collaborative environment with opportunities to work with top professionals.
  • Why this job: Make a significant impact by analysing billions of transactions monthly.
  • Qualifications: Experience in data science and machine learning is essential.

The predicted salary is between 63000 - 77000 Β£ per year.

LexisNexis Risk Solutions is seeking a data science professional to build and operationalise machine learning models on a real-time fraud platform, analysing billions of transactions monthly for major enterprises across financial services and e-commerce. You will collaborate with product, engineering, and risk-management teams, shaping features, monitoring models, and communicating insights to clients and executives to reduce fraud losses and improve profitability.

Senior Real-Time Fraud Data Scientist in London employer: LexisNexis Risk Solutions

At ICIS, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and accountability. Our commitment to employee well-being is reflected in our generous benefits package, extensive learning opportunities, and a supportive environment that encourages personal and professional growth. Join us in our mission to optimize the world's resources while enjoying a fulfilling career in a globally distributed team that values your insights and contributions.

LexisNexis Risk Solutions

Contact Details:

LexisNexis Risk Solutions Recruitment Team

We think you need these skills to ace Senior Real-Time Fraud Data Scientist in London

Machine Learning
Data Analysis
Real-Time Data Processing
Collaboration
Feature Engineering
Model Monitoring
Communication Skills