Job Detail

Lead AI Data Scientist - Servicing

Data Science and AI Full–time
ID: #10087
Posted: 2026-03-04
Salary

Description

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job Description 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 Wise's mission by tackling these challenges and developing a comprehensive testing suite for our solutions. Here’s how you’ll 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; • A strong product mindset with the ability to work independently in a cross-functional and cross-team environment; • Good communication skills and ability to get the point across to non-technical individuals; • Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. 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. We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you. And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic. Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're 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 it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Hard Skills 9
Skill Source Confidence
Python llm_hard
100%
Unsupervised Learning llm_hard
100%
Large Language Models (LLMs) llm_hard
100%
Fine-tuning Models llm_hard
100%
Model Deployment llm_hard
100%
Neural Networks llm_hard
100%
Reinforcement Learning llm_hard
80%
MLOps llm_hard
80%
Statistical Modeling llm_hard
80%
Soft Skills 11
Skill Source Confidence
Verbal Communication llm_soft
100%
Written Communication llm_soft
100%
Cross-Functional Communication llm_soft
100%
Explaining Complex Ideas Clearly llm_soft
100%
Leadership llm_soft
100%
Mentoring llm_soft
100%
Problem-Solving llm_soft
100%
Critical Thinking llm_soft
100%
Continuous Learning llm_soft
80%
Openness to Feedback llm_soft
80%
Professional Development llm_soft
80%
Apply Options
Publisher Direct Link
Wise.jobs No Apply
Wise.jobs No Apply
Indeed No Apply
Smart Recruiters Jobs No Apply
Glassdoor No Apply
The Dots Yes Apply
SimplyHired No Apply
Totaljobs Yes Apply
Experteer No Apply
API Logs for this Job
Query Country Status Response ms Created
Lead AI Data Scientist - Servicing extracted 8522 2026-03-22 02:12
Lead AI Data Scientist - Servicing classified 513 2026-03-21 20:56
junior data scientist in London gb processed 15834 2026-03-21 16:54
Raw JSON
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