Data Scientist - Fraud and Survey Optimisation

Data Scientist - Fraud & Survey Optimisation
Location:Hybrid (2 days/week in London)
Rate:£500-£550/day (Outside IR35)
Length:3-6 months
Start:Within 2 weeks (max 4-week notice period)

About the Role

We're working with aleading research and insights businessthat is tackling fraudulent data submissions across large-scale survey platforms. As part of a dedicated Fraud and Optimisation team, they're looking to bring in acontract Data Scientistto build and automate models that enhance the integrity and quality of survey data delivered to clients.

You'll be joining at a pivotal time, with the team focused on identifying response anomalies and developing scalable tools to filter out invalid data - ensuring higher-quality insights across their client base.

Key Fraud Challenges

You'll help detect and eliminate these common types of fraud:

1. Out-of-Country Fraud:Participants misreporting location to qualify for region-specific surveys.

2. Identity Simulation:Individuals creating multiple profiles to access more surveys.

3. Status Inflation:Users falsely qualifying for more surveys by over-claiming attributes.
   
   

Your Contribution

• Work with fraud analysts to understand patterns in historic and real-time data.

• Build and automateanomaly detection modelsand afraud scorecardto flag invalid responses.

• Improve surveyyield, efficiency, anddata qualityusing statistical and machine learning techniques.

• Attendwhiteboarding and strategic sessions twice weekly(on-site in Reading or London).
  
  

Required Experience

• Previous experience working indata science or advanced analyticsroles in fast-moving or ambiguous environments.

• Strong understanding offraud detection,classification modelling, anddata optimisation.

• Experience working withfinancial, survey, or behavioural data(e.g. trading data, yield models, customer profiling).

Desired Skills and Experience