Lead Data Scientist - Customer Onboarding

Wise
London
Workplace: HybridFull timeGBP 90,500 - 127,000 annuallyFunction: Data Science & Machine LearningSkills: ["Mentorship","Stakeholder communication","Planning","Research-minded","Data-driven problem-solving"]

Lead data science efforts for Wise’s KYC and customer onboarding verification team. Own the lifecycle of machine learning models used for document verification, including training, testing, performance analysis, and iterative research improvements. Collaborate with cross-functional stakeholders to plan projects, optimize model performance, and build/maintain a large Python codebase supporting deep learning image models—delivering measurable risk mitigation and a seamless onboarding experience for millions.

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FursaFursa
Wise
Wise
1 day ago

Lead Data Scientist - Customer Onboarding

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Lead data science efforts for Wise’s KYC and customer onboarding verification team. Own the lifecycle of machine learning models used for document verification, including training, testing, performance analysis, and iterative research improvements. Collaborate with cross-functional stakeholders to plan projects, optimize model performance, and build/maintain a large Python codebase supporting deep learning image models—delivering measurable risk mitigation and a seamless onboarding experience for millions.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Plan and ideate data science projects with cross-functional teams to support KYC onboarding verification.
  • •Own the full lifecycle of machine learning models, including training, testing, and performance analysis.
  • •Develop and maintain large image and tabular datasets related to KYC processes.
  • •Measure and optimize machine learning model performance, including deep learning image model iteration.
  • •Maintain a large Python codebase and stay current with new ML research to incorporate improvements into production systems.

Pay and Benefits

Salary: GBP 90,500 - 127,000 annually
Perks:Remote WorkEquityRelocationParental LeavePensionPaid SabbaticalWellness Stipend

Key Requirements

  • •Own the training, iteration, testing, and lifecycle management of machine learning models for KYC systems.
  • •Iterate on deep learning image models for document verification and improve model performance.
  • •Build and maintain a large Python codebase using industry-standard best practices.
  • •Apply machine learning/data science techniques to identify opportunities and mitigate risk in customer onboarding.
  • •Clearly communicate the value, limitations, and impact of data science initiatives to stakeholders and mentor junior team members.
Skills:MentorshipStakeholder communicationPlanningResearch-mindedData-driven problem-solving
Languages:English
Tech Stack:PythonMachine learningDeep learningData science

Company Brief

Wise
Wise (formerly TransferWise) is a London-based fintech that provides low-cost international money transfers, multi-currency accounts and payment infrastructure for individuals and businesses worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2011
Glassdoor
Glassdoor: 3.8
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