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Staff Data Scientist - Fraud Analysis

WiseLondon
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

The ideal candidate will have a strong background in data science, with expertise in statistical analysis, machine learning, and data visualization. Proficiency in programming languages such as Python or R is essential, along with experience in SQL and data manipulation. A passion for problem-solving and a keen interest in fraud detection strategies will set you apart.

About the job

Join Wise as a Staff Data Scientist specializing in Fraud Analysis. As a pivotal member of our team, you will leverage data to develop innovative solutions that combat fraud, ensuring the security and trust of our financial services. This role involves analyzing vast datasets, creating predictive models, and collaborating with cross-functional teams to implement effective fraud prevention strategies.

About Wise

Wise, formerly known as TransferWise, is a global technology company that offers a fast, fair, and transparent way to send money internationally. We are dedicated to making financial services accessible to everyone, and our mission is to build a world where people can send money as easily as sending an email.

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