Hybrid Fraud Prevention Data Scientist, Wealth and Retail Fraud Prevention Data Scientist, Wealth and Retail
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s1jobs · United Kingdom · Hybrid
Join us as a Fraud Prevention Data Scientist, Wealth and Retail
What you'll doAs a Data Scientist, you’ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We’ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to maximise the protection for Wealth and Retail customers.As well as this you'll be collaborating effectively across the Fraud CoE and Data Analytics teams, showcasing experiments, and sharing best practices and techniques by using repository tools such as GitlabYou’ll Also Be
The skills you'll needYou’ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You’ll have experience with statistical modelling and machine learning techniques, as well as the ability to operate with a high degree of independence and feel comfortable working within a geographically distributed team.We’ll also look for you to have experience of developing Tableau or similar data visualisation dashboards to steer business priorities and performance within financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processesYou’ll Also Demonstrate