Lead Data Scientist - KYC/Onboarding

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

Build and own the machine learning model lifecycle for KYC and onboarding, including training, testing, iteration, and performance analysis. Work with verification teams to develop document verification systems, iterate on deep learning image models, and optimize model performance in production. Collaborate with cross-functional stakeholders, explain value and limitations clearly, manage large image/tabular datasets, and mentor junior data scientists while maintaining a large Python codebase.

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FursaFursa
Wise
Wise
14 hours ago

Lead Data Scientist - KYC/Onboarding

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and own the machine learning model lifecycle for KYC and onboarding, including training, testing, iteration, and performance analysis. Work with verification teams to develop document verification systems, iterate on deep learning image models, and optimize model performance in production. Collaborate with cross-functional stakeholders, explain value and limitations clearly, manage large image/tabular datasets, and mentor junior data scientists while maintaining a large Python codebase.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Plan and contribute to ideation of data science projects in collaboration with cross-functional teams.
  • •Train, test, and iterate machine learning models across the full lifecycle, including ongoing research modifications to KYC systems.
  • •Develop and improve document verification systems, including deep learning image model iteration.
  • •Measure and optimize model performance, ensuring effective production behavior and continuous improvement.
  • •Provide mentorship to junior data scientists and maintain a large Python codebase with best practices.

Pay and Benefits

Salary: GBP 90,500 - 127,000 annually
Equity and Bonus:Equity
Perks:Flexible WorkingEquityRelocationParental LeavePension SchemePaid SabbaticalWellness Stipend

Key Requirements

  • •Experience owning the training, iteration, and testing lifecycle of machine learning models, including performance analysis.
  • •Strong background applying machine learning and deep learning to image and tabular data for production systems.
  • •Ability to articulate value, limitations, and impact of data science initiatives to stakeholders with varying technical understanding.
  • •Comfort managing and creating large datasets for KYC/document verification processes and applying research to improve production systems.
  • •Experience maintaining and developing production-grade codebases using industry-standard best practices (Python).
Experience:KYCOnboarding
Skills:MentorshipStakeholder communicationResearch mindsetData analysis
Languages:English
Tech Stack:PythonMachine learningDeep learningImage datasetsTabular 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
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