Lead Data Scientist - Receive Risk in Kennington

Company DescriptionWise is a global technology company, building the best way to move and manage the world’s money.Min fees.
Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.
Max ease.
Full speed.Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.As part of our team, you will be helping us create an entirely new network for the world's money.For everyone, everywhere.More about our mission and what we offer.Job DescriptionWe’re looking for a Lead Data Scientist to join our growing Receive Team in London. This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve.
What you build will have a direct impact on Wise’s mission and millions of our customers.Role Overview:As a Lead Data Scientist on the Receive team, you will leverage your expertise in data science to identify, design and deploy models that improve how customers receive and add money with Wise.
Your work will help us make better decisions, improve customer outcomes, and build scalable data science capabilities for a growing product area.
You will collaborate closely with cross-functional teams, including engineering, product, analytics, operations and risk management. Key Responsibilities:Lead the development and deployment of machine learning models and data science solutions to improve Receive product performance across different Wise marketsAnalyse large volumes of customer, transaction and product data to identify trends, patterns, risks and opportunitiesDesign and implement experiments to evaluate the effectiveness of product changes, decisioning systems and customer experience improvementsBuild scalable modelling approaches that support better prioritisation, personalisation, risk management and operational decision-makingCollaborate with analysts, product managers, engineers, operations and risk teams to translate business requirements into actionable data science solutionsDevelop robust data pipelines, algorithms and tools to support production-grade modelling and decision-makingStay informed about the latest advancements in data science, machine learning, and