Lead Data Scientist - KYC/onboarding

Description

The company builds money transfer services that work across borders, and this team handles the KYC (Know Your Customer) checks run on consumers and businesses during onboarding.

This is a technical Lead Data Scientist role, graded IC3, in the growing KYC and Onboarding team in London.

You will learn how customer onboarding and KYC work, how data science helps reduce risk, and how to keep the experience smooth for customers. Your work goes live and reaches millions of customers.

The team builds machine learning models and systems for Document verification. You will own the full life cycle of these models, covering training, iteration, testing, performance analysis and further changes to the KYC systems.

Responsibilities

• Help plan and shape data science projects with cross-functional teams.
• Find opportunities where machine learning or data science can help, and advise on how to apply them.
• Explain the value, limits and likely impact of data science work to stakeholders with varied technical knowledge.
• Build and manage large image and tabular datasets for KYC processes.
• Improve the deep learning image models.
• Measure and improve the performance of machine learning models.
• Maintain and grow a large Python codebase to industry-standard practices.
• Track the fast-moving machine learning field and bring useful new methods into production systems that benefit customers.
• Study Document verification to find the most effective ways to stop criminal activity.
• Mentor junior team members to build their data science skills and standards.

Requirements

• Experience in data science and machine learning sufficient to lead projects and own models end to end.
• Strong Python skills.
• Ability to explain technical ideas clearly to people without a technical background.
• Formal qualifications are not essential. Strong experience and clear reasoning matter more.
• Applicants from under-represented groups are especially encouraged to apply.

Conditions

Based in London, UK, with a hybrid work model.

Salary is GBP 90.5K-127K per year gross, depending on experience and interview outcomes.

Flexible working, including working from home, trusted to act responsibly.

Equal opportunity: the company welcomes applicants of all backgrounds and is committed to diversity.

Benefits

• Stock options in a profitable company.
• Relocation support.
• Generous parental leave.
• Pension scheme.
• Paid sabbatical.
• Strong development opportunities.
• Sports and wellbeing allowance.
• Social activities and events.
• Colleagues who are smart and curious.