Data Scientist - Fraud and Survey Optimisation in London

Job description

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 a leading research and insights business that 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 a contract Data Scientist to 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 automate anomaly detection models and a fraud scorecard to flag invalid responses.

• Improve survey yield, efficiency, and data quality using statistical and machine learning techniques.

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

Required Experience

• Previous experience working in data science or advanced analytics roles in fast-moving or ambiguous environments.

• Strong understanding of fraud detection, classification modelling, and data optimisation.

• Experience working with financial, survey, or behavioural data (e.g. Trading data, yield models, customer profiling).

Desired Skills and Experience

Extra information

Status

Open

Education Level

Secondary School

Location

London

Type of Contract

Part-time jobs

Published at

13-08-2025

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English