Senior Data Science Analyst, Lloyds

• Appropriate educational background in a numerical or computing-based subject, or significant relevant experience
• Practical experience of using Python in real world business applications
• Understanding and practically applying Machine Learning techniques within a commercial/industrial context
• Exhibit a flair for statistical analysis and innovation in its use and application

Desirable

• Join our Economic Crime Intelligence Lab in a key Data Science role you’ll see how a leading FinTech fights fraud whilst ensuring continuity of the service our customers expect
• You're going after the fraudsters, the social engineering con-artists and money mules. In turn this helps to protect customers and wider society from the harm caused by fraud and scams
• You'd be using your skills in Python to update and maintain our machine learning libraries underpinning our fraud controls
• You'll work with new technologies (Spark, Hadoop, Pyspark), toolsets and techniques to embed the latest solutions into our products
• Your skills will in time be utilised within wider Economic Crime areas with exposure to even wider technologies and learning
• Ultimately you'll get to identify innovative solutions within machine learning and use statistical analysis to detect and prevent fraud against our customers and the bank
• Your input will help our fraud detection become ever more sophisticated through improved accuracy i.e. less interruption of genuine customer transactions
• You’ll also have very well-defined success metrics (e.g. detection rate, alert rate) and an abundance of meaningful, complex data for you to get stuck into

• End Date: November 18, 2024 (13 days left to apply)