Fraud & Economic Crime Data Scientist

eFinancialCareers; City of Edinburgh; On-site; GBP 60,000 - 90,000; Full time

Job summary

eFinancialCareers seeks a Data Scientist for its Economic Crime Hub in Edinburgh. You will design and implement data science tools to prevent fraud, reduce customer harm and financial losses, and improve fraud decisioning.

You will work with fraud stakeholders to understand needs and deliver data-led solutions. As part of the Fraud, Engineering and Data community, you will translate challenges into analytical questions, build scalable pipelines, and monitor model performance while ensuring

Qualifications

• Strong academic background in a STEM discipline.
• Experience with statistical modelling and ML for fraud or risk.
• Experience with data-driven decision making and stakeholder communication.

Responsibilities

• Translate fraud challenges into analytical questions with measurable outcomes.
• Build reusable data pipelines and deploy scalable solutions in Agile.
• Develop and evaluate ML models and AI applications for fraud detection.
• Monitor model performance and governance supporting audit and regulatory review.

Skills

Statistical modelling

Machine learning

Data visualisation

Programming fundamentals

Education

STEM degree

Tools

Cloud platforms

Job description

eFinancialCareers seeks a Data Scientist for its Economic Crime Hub in Edinburgh. You will design and implement data science tools to prevent fraud, reduce customer harm and financial losses, and improve fraud decisioning.

You will work with fraud stakeholders to understand needs and deliver data-led solutions. As part of the Fraud, Engineering and Data community, you will translate challenges into analytical questions, build scalable pipelines, and monitor model performance while ensuring