Lead Data Scientist - KYC & Onboarding

Wise
London
Workplace: HybridFull timeGBP 90,500 - 127,000 annuallyFunction: Data Science & Machine LearningSkills: ["Mentorship","Collaboration","Stakeholder communication","Problem-solving","Research mindset"]

Lead data science for Wise’s KYC and onboarding verification processes, building and evolving machine learning models that support document verification. Own the full model lifecycle—training, testing, performance analysis, and iteration—while researching improvements for production systems. Collaborate with cross-functional teams on project planning, communicate model value and limitations to stakeholders, and maintain a large Python codebase using industry best practices.

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FursaFursa
Wise
Wise
11 hours ago

Lead Data Scientist - KYC & Onboarding

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Last checked: 5 hours agoStatus: Live

Job Summary

Lead data science for Wise’s KYC and onboarding verification processes, building and evolving machine learning models that support document verification. Own the full model lifecycle—training, testing, performance analysis, and iteration—while researching improvements for production systems. Collaborate with cross-functional teams on project planning, communicate model value and limitations to stakeholders, and maintain a large Python codebase using industry best practices.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Collaborate on planning and ideation of data science projects with integrated cross-functional teams.
  • •Own model lifecycle: training, testing, model performance analysis, and research for KYC system improvements.
  • •Manage and create large image and tabular datasets related to KYC processes.
  • •Iterate on deep learning image models and optimize machine learning model performance.
  • •Maintain and develop a large Python codebase and provide mentorship to junior team members.

Pay and Benefits

Salary: GBP 90,500 - 127,000 annually
Equity and Bonus:Equity
Perks:EquityRelocationParental LeavePension SchemePaid SabbaticalRemote Work

Key Requirements

  • •Own training, iteration, and lifecycle management for machine learning models used in KYC systems.
  • •Measure and optimize model performance, including analysis and research to drive further modifications.
  • •Maintain and develop a large Python codebase using industry-standard best practices.
  • •Develop and iterate deep learning image models, working with large image and tabular datasets.
  • •Provide mentorship to junior team members and communicate the value, limitations, and impact of data science initiatives to stakeholders.
Skills:MentorshipCollaborationStakeholder communicationProblem-solvingResearch mindset
Languages:English
Tech Stack:PythonMachine learningDeep learningDocument verificationImage modelsTabular datasets

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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