Data Scientist, KYC & Onboarding | ML & Verification

Wise; United States; Hybrid; USD 120,000 - 169,000; Full time

Benefits offered by this job

Stock options

Relocation support

Generous parental leave

Pension scheme

Paid sabbatical

Development opportunities

Sports and wellbeing compensation

Fun work environment with social teams

Job summary

Wise is seeking a Senior Data Scientist to own training, iteration, and management of ML models used in KYC document verification. You will oversee the lifecycle, evaluate performance, and explore research-led modifications for production systems that protect customers globally.

Based in London with a hybrid work model, you will mentor junior teammates and collaborate with cross-functional partners to translate data insights into scalable solutions while staying at the forefront of ML research

Qualifications

• Proficiency in Python for ML workflows.
• Hands-on experience with ML/DL model development.
• Experience in data science methods for verification tasks.
• Familiarity with KYC processes and risk signals.

Responsibilities

• Plan and ideate data science projects with cross-functional teams.
• Apply ML techniques to improve KYC document verification.
• Articulate model limitations and potential impacts to stakeholders.
• Train, test, and monitor ML models across the lifecycle.
• Mentor junior data scientists and promote industry best practices.

Skills

Python

Machine Learning

Deep Learning

Data Science

KYC

Job description

Wise is seeking a Senior Data Scientist to own training, iteration, and management of ML models used in KYC document verification. You will oversee the lifecycle, evaluate performance, and explore research-led modifications for production systems that protect customers globally.

Based in London with a hybrid work model, you will mentor junior teammates and collaborate with cross-functional partners to translate data insights into scalable solutions while staying at the forefront of ML research