Fraud Data Scientist: AI‑Driven Scores & ML

Equifax; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

In-office collaboration Mon-Thu

Friday work from home

Job summary

Equifax UK Data & Analytics invites you to develop market-leading fraud scores and models using cloud-based technologies. You will work with a global team to build AI/ML solutions and deliver high-impact analytical products.

You’ll apply traditional and cutting-edge techniques, create new features, and collaborate with stakeholders to deploy scores with governance. The role follows a four-day in-office week (Mon-Thu) with Friday flexibility.

Qualifications

• Experience using credit bureau data in statistical fraud models.
• Extensive experience developing statistical models and scores in fraud.
• Highly numerate with a relevant degree 2:1 or above.
• Day-to-day use of Python, SAS, BigQuery, Jupyter Notebook and SQL.
• Experience developing regression models and scores (e.g., logistic).
• Exposure to large/complex datasets and analytical platforms.

Responsibilities

• Develop market leading statistical fraud models and pseudo-models using diverse data sources.
• Apply traditional and AI/ML techniques (logistic, gradient boosting, random forests, clustering).
• Leverage cloud based tools to support test-and-learn champion/challenger approaches.
• Create new features to improve predictive power and analytical products.
• Investigate segmentation to maximize model performance.
• Collaborate with internal stakeholders to deliver new scores and products.
• Share best practices with Data Scientists globally and adhere to policies.
• Produce documentation for peer review and Model Risk Management.

Skills

Python

SAS

BigQuery

Jupyter Notebook

SQL

Logistic regression

Statistical modeling

ML/AI techniques

Fraud modeling

Communication

Education

Bachelor's degree in a numerate field

Tools

G-Suite

Google Cloud Platform (GCP)

Vertex AI

Job description

Equifax UK Data & Analytics invites you to develop market-leading fraud scores and models using cloud-based technologies. You will work with a global team to build AI/ML solutions and deliver high-impact analytical products.

You’ll apply traditional and cutting-edge techniques, create new features, and collaborate with stakeholders to deploy scores with governance. The role follows a four-day in-office week (Mon-Thu) with Friday flexibility.