Associate Fraud Risk Data Scientist

This role is for an Associate Fraud Risk Data Scientist with a contract length of over 6 months, offering up to $50.00 per hour. Key skills include machine learning, SQL, Python, AWS, and experience in eCommerce or fraud detection.

United States

$ USD

400

January 27, 2026

More than 6 months

On-site

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#AWS (Amazon Web Services) #Python #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Mathematics #SQL (Structured Query Language) #Visualization #Datasets #Libraries #Data Science #Statistics #Automation #Tableau #Strategy #ML (Machine Learning) #Data Analysis

+ About the job:

The Associate Fraud Risk Data Scientist will develop and support AI and machine learning models that detect and mitigate fraud across digital platforms. This role combines technical expertise in data science with business acumen to drive risk management innovation through advanced analytics and automation.+ We’re looking for someone who:

Has 2–6 years of experience in machine learning, AI, data science, or risk analytics (experience in eCommerce, payments, or fraud detection preferred)
Holds a bachelor’s or master’s degree in Data Science, Mathematics, Statistics, or a related field

Is proficient in SQL, Python, AWS, and Excel with key data science libraries

Has experience with data visualization tools such as Tableau Works comfortably with large datasets and complex modeling workflows

Communicates technical findings clearly to business partners and executives

Can lead AI and ML projects from concept to implementation with measurable results(Preferred) Has experience developing or implementing AI tools such as LLMs for risk applications+

What you’ll do:

Design, develop, and implement machine learning and AI models to detect and prevent fraud

Support cross-functional teams in leveraging models effectively for risk mitigation

Collaborate with product and engineering to deploy, monitor, and refine AI-driven solutions

Drive AI transformation initiatives within the risk management organization

Use data analysis to inform fraud strategy and model improvements

Develop dashboards and visualizations to monitor KPIs and model performance

Present insights and recommendations to stakeholders across all levels+ Why you’ll love working here:

Weekly payPaid sick leave

Health, vision, dental, pet insurance, and more

Job Types: Full-time, Contract Pay:
Up to $50.00 per hour Benefits:

Dental insurance

Health insurance

Vision insurance

Work Location:

In person

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85 Great Portland Street, London, England, W1W 7LT