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Lead Data Scientist - KYC/Onboarding

Wise is currently hiring a Lead Data Scientist to focus on KYC and Onboarding for their team located in London. This individual contributor position involves building…

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Role Snapshot

Hiring Now
Work arrangement
Not specified
Location
London, United Kingdom
Salary
GBP 90,500 - 127,000/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz4h agoEmployer posted Oct 29, 2026
Listing Views2
Applications0
Apply BeforeNo deadline

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About This Role

Wise is currently hiring a Lead Data Scientist to focus on KYC and Onboarding for their team located in London. This individual contributor position involves building and managing machine learning models and systems dedicated to document verification, helping to protect customers from criminal activity while ensuring a smooth onboarding journey for both consumers and businesses. The role requires working alongside cross-functional teams to ideate data science initiatives, handling large image…

Job Description

Wise is currently hiring a Lead Data Scientist to focus on KYC and Onboarding for their team located in London. This individual contributor position involves building and managing machine learning models and systems dedicated to document verification, helping to protect customers from criminal activity while ensuring a smooth onboarding journey for both consumers and businesses. The role requires working alongside cross-functional teams to ideate data science initiatives, handling large image and tabular datasets, iterating on deep learning image models, and maintaining a Python codebase according to industry standards.

This opportunity is well-suited for an experienced data professional who can explain complex data science concepts to diverse stakeholders and mentor junior team members. Wise offers a hybrid working model based out of their London office. Compensation ranges between GBP 90,500 and GBP 127,000 per year, determined by experience and interview results. Candidates will also have access to various perks such as stock options, relocation assistance, a pension scheme, flexible working arrangements, and parental leave.

Responsibilities

  • Collaborate with cross-functional teams to plan and ideate data science projects
  • Identify opportunities and advise on applying machine learning and data science methodologies
  • Communicate the value, limitations, and potential effects of data science projects to various stakeholders
  • Build and manage large tabular and image datasets associated with KYC workflows
  • Enhance and iterate upon deep learning image models
  • Track and optimize machine learning model performance
  • Write and maintain a Python codebase following industry standards
  • Research emerging machine learning techniques and explore incorporating them directly into production systems
  • Study document verification methods to discover effective ways to stop criminal activity
  • Mentor junior colleagues to support their skill development in data science

Requirements

  • Experience in data science and machine learning model lifecycles
  • Proficiency in maintaining and developing Python codebases
  • Experience working with large image and tabular datasets

Core Skills

Benefits

  • Flexible working arrangements including work from home options
  • Stock options in a profitable company
  • Relocation support
  • Generous parental leave
  • Pension scheme
  • Paid sabbatical
  • Development opportunities
  • Sports and wellbeing compensation
  • Social activities and events

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the location and remote work policy for this role?

The position is based in London, UK, with a hybrid working arrangement.

What is the salary range for the Lead Data Scientist position?

The yearly gross salary ranges from GBP 90,500 to GBP 127,000, depending on experience and interview outcomes.

What benefits are provided with this job?

Benefits include flexible working, stock options, relocation support, parental leave, a pension scheme, paid sabbatical, development opportunities, and sports and wellbeing compensation.

Are specific formal qualifications required to apply?

The posting states that formal qualifications are not very important, and they prioritize great experience and the ability to articulate your thinking.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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Posted by Wise

Source: Wise

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Posted by employer: Oct 29, 2026

Added to Jobsiz: Nov 4, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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