Lead AI Data Scientist

Lead AI Data Scientist - Servicing

Were looking for a Lead AI Data Scientist to join our Servicing team in London. 

This role is a unique opportunity to work on the intelligence system at the core of our operational handling work. Youll help automate components of our operational systems and build solutions that reduce financial crime risk. What you build will have a direct impact on Wises mission and millions of our customers.

About the Role: 

The Servicing team offers an exciting environment for applying cutting-edge Generative AI solutions. This team is dedicated to enhancing our financial crime mitigation operations through tooling and automation aiming to streamline reviews and simplify the work of our operations staff. A core focus involves analyzing and automating significant parts of our operational workflows. Furthermore the team develops LLM-based tools to assist crime prevention teams in deflecting demand. The successful candidate will have the chance to directly contribute to Wises mission by tackling these challenges and developing a comprehensive testing suite for our solutions.

Heres how youll be contributing: 

• End-to-End Automation: Lead the development and deployment of AI models designed to augment operational workflows specifically targeting the automation of case comments red flag generation final review summaries and data labeling.

• Full-Stack Deployment: Take ownership of the production pipeline by writing and deploying production-ready Python services. You must be willing to bypass engineering bottlenecks to ship value quickly while maintaining code quality.

• Human-in-the-Loop Architecture: Design systems where AI provides recommendations and drafts ensuring human operators retain the final decision-making authority for critical financial crime mitigation assessments.

• Rigorous Testing & Governance: Establish comprehensive testing frameworks (e.g. shadow mode A/B testing) for production environments and act as the technical liaison with Compliance to ensure all models meet regulatory standards prior to launch.

• Strategic Demand Deflection: Go beyond ticket handling by analyzing upstream data to create strategies that deflect financial crime attempts before they reach the operations team effectively reducing manual workload.

• Mentorship & Leadership: Lead and grow other Junior Data Scientists fostering a product-focused mindset and guiding them through complex technical implementations and architectural decisions.

  A bit about you:

• Experience implementing training testing and evaluating performance of Machine Learning systems

• Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles

• Knowledge and experience developing Unsupervised Learning methods

• Experience with statistical analysis and ability to produce well-designed experiments

Some extra skills that are great (but not essential):

• Hands-on experience training Neural Network models and deploying them into production

• Familiarity with automating operational processes via technical solutions for example Large Language Models

• Experience implementing fine-tuning reinforced learning alignment and evaluation techniques within an LLM training pipeline.

• Familiarity with agentic frameworks such as LangGraph or similar.

• Willingness to get hands dirty reading many many historical operational cases.

Additional Information :

Were people without borders without judgement or prejudice too. We want to work with the best people no matter their background. So if youre passionate about learning new things and keen to join our mission youll fit right in.

Also qualifications arent that important to us. If youve got great experience and youre great at articulating your thinking wed like to hear from you.

And because we believe that diverse teams build better products wed especially love to hear from you if youre from an under-represented demographic.

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what its like to work at Wise visit .

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Remote Work :

No

Employment Type :

Full-time