Opportunity at
WiseLead Data Scientist - KYC/Onboarding
This Lead Data Scientist position is part of the KYC and Onboarding group in London, which carries out the Know Your Customer checks applied to individuals…
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About This Role
This Lead Data Scientist position is part of the KYC and Onboarding group in London, which carries out the Know Your Customer checks applied to individuals and businesses when they join. Data scientists in the group build machine learning models that help with document verification. The listing treats it as a technical lead role at IC3 level, combining risk control with a smooth experience for new customers. The lead would…
Job Description
This Lead Data Scientist position is part of the KYC and Onboarding group in London, which carries out the Know Your Customer checks applied to individuals and businesses when they join. Data scientists in the group build machine learning models that help with document verification. The listing treats it as a technical lead role at IC3 level, combining risk control with a smooth experience for new customers.
The lead would be responsible for training, iterating on and managing the lifecycle of these models. That includes testing, judging model performance and researching improvements to the KYC systems. The job also involves proposing data science projects with cross-functional partners, pinpointing where machine learning can help, and explaining what each modelling project is worth, where it falls short and what it could change, to people with different levels of technical knowledge.
Hands-on tasks include building and curating large image and tabular datasets used in KYC processes, refining deep learning image models, and maintaining a large Python codebase that meets accepted engineering standards. The lead also keeps pace with fast-moving machine learning research and studies document verification methods that help stop criminal activity. Mentoring junior colleagues in data science skills is part of the post.
The listing describes the London office as hybrid. The salary range is GBP 90.5K to 127K gross per year, depending on experience and interview results. The post is full-time, and the benefits are summarised below.
Responsibilities
- Join planning and ideation for data science projects with cross-functional teams
- Spot opportunities and advise on where machine learning and data science methods fit
- Explain the worth, limits and projected effect of analytics projects to varied audiences
- Build and curate large image and tabular datasets used in KYC processes
- Refine deep learning image models and measure and raise their performance
- Maintain and extend a large Python codebase against accepted engineering standards
- Research document verification techniques that help prevent criminal activity
- Mentor junior colleagues in data science skills and standards
Requirements
- Ability to own training, testing and performance analysis across a model's lifecycle
- Strong practical experience, which the listing values above formal credentials
- Ability to articulate technical reasoning clearly
Qualifications
- Formal qualifications are described as less important to the team than practical experience
Core Skills
Benefits
- Flexible working arrangements
- Stock option grants
- 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.
Where is this Lead Data Scientist job located?
The role is based in London. The listing describes the office as hybrid, while the record shows on-site.
What is the stated salary?
The listing gives a range of GBP 90.5K to 127K gross per year, depending on experience and how interviews go.
What does the role focus on?
The role focuses on machine learning models that support Know Your Customer checks and document verification, including training, testing and performance analysis.
How do I apply?
The listing does not describe an application process.
Sample Interview Questions
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