Fraud & Payments Data Scientist — AI, GCP, Profitability

THG Ingenuity; Manchester; On-site; GBP 65,000 - 90,000; Full time

Job summary

THG Ingenuity is looking for a Data Scientist to tackle Fraud, Payments and Finance, protecting global ecommerce operations and driving profitability. You will work with THG Detect, optimise payments performance, and build data-driven solutions on GCP to deliver business value.

You will lead ML-driven improvements in detection, improve authorisation rates, and collaborate across Fraud, Payments, Finance and Engineering to implement data pipelines and automation.

Qualifications

• Proficient with SQL & Python.
• Proficient in a data visualisation software (Tableau/Looker/PowerBI).
• Experience using a variety of machine learning algorithms.
• Able to communicate effectively; using data to tell a story and drive business change.
• Experience within Google Cloud preferential.

Responsibilities

• Optimise Fraud Detection: continuously improve automated decision-making in our in-house THG Detect platform using ML and rules.
• Enhance Payment Performance: lead data-driven initiatives to boost authorisation rates and reduce costs.
• Drive Profitability within Finance: lead automation and profitability initiatives across Finance.
• Communicate Performance: report on fraud, payments and finance to stakeholders including C-level management.
• Drive System Improvements: collaborate with Fraud, Payments, Finance and Engineering to enhance data pipelines.
• Innovate & Automate: identify opportunities to improve detection capabilities and team efficiency through automation.

Skills

SQL

Python

ML algorithms

Data storytelling

Google Cloud

Communication

Tools

Tableau

Looker

PowerBI

Google Cloud Platform (GCP)

Job description

THG Ingenuity is looking for a Data Scientist to tackle Fraud, Payments and Finance, protecting global ecommerce operations and driving profitability. You will work with THG Detect, optimise payments performance, and build data-driven solutions on GCP to deliver business value.

You will lead ML-driven improvements in detection, improve authorisation rates, and collaborate across Fraud, Payments, Finance and Engineering to implement data pipelines and automation.