Fraud Data Scientist - ML, Production Ready, Equity

Harnham; Greater London; On-site; GBP 39,000 - 65,000; Full time

Benefits offered by this job

Equity

Job summary

Harnham are working with a fast-growing financial services organisation to hire an Applied Data Scientist focused on fraud detection and mitigation. This mid-level role blends machine learning, analytics and business insight to tackle complex fraud challenges and protect customers.

You will build models, work with large datasets, and partner with risk, product and technology teams to deliver measurable improvements in fraud prevention and customer protection.

Qualifications

• Experience in fraud analytics or fraud prevention in a risk-focused data science environment.

Responsibilities

• Collect, process and analyse large datasets to identify fraud trends and risks.
• Design, develop and maintain fraud detection and identity resolution models.
• Evaluate new data sources and run proof-of-concept experiments.
• Monitor model performance and produce visual dashboards for stakeholders.
• Collaborate with cross-functional teams in fraud, compliance and verification initiatives.

Skills

Fraud analytics

Machine learning

Python

SQL

Production deployment

Communication

Tools

Python

SQL

Job description

Harnham are working with a fast-growing financial services organisation to hire an Applied Data Scientist focused on fraud detection and mitigation. This mid-level role blends machine learning, analytics and business insight to tackle complex fraud challenges and protect customers.

You will build models, work with large datasets, and partner with risk, product and technology teams to deliver measurable improvements in fraud prevention and customer protection.