{"id":1646131,"url":"https://alion.io/job/wise-lead-data-scientist-aml-handling","title":"Lead Data Scientist - AML Handling","company":{"id":3856,"name":"Wise","domain":"wise.com","url":"https://alion.io/company/wise","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":31,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90500,"max":127000,"currency":"GBP","period":"year","gross":null,"usd_annual":168066},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-01T15:11:54Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-03T23:52:03Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Wise is a global technology company, building the best way to move and manage the world’s money.\nMin fees. Max ease. Full speed.\nWhether 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.\nAs part of our team, you will be helping us create an entirely new network for the world's money.\nFor everyone, everywhere.\nMore about our mission and what we offer.\n Lead Data Scientist - Anti-Money Laundering (AML) Handling & Prevent\nWe’re looking for a Lead Data Scientist (IC3) to join our Anti-Money Laundering (AML) Handling & Prevent team in London.\nThis role is a unique opportunity to work on the intelligence system at the core of our operational handling and prevention work. You'll help automate components of our operational systems, establish robust LLM evaluation pipelines, and build solutions that reduce financial crime risk. What you build will have a direct impact on Wise’s mission and millions of our customers.\nThe AML Handling & Prevent team offers an exciting environment for applying cutting-edge Generative AI solutions and machine learning architectures. This team is dedicated to enhancing our financial crime mitigation operations through advanced tooling, automated evaluation frameworks, and prompt optimization, aiming to streamline reviews and simplify the work of our operations staff. As a Lead Data Scientist (IC3), you will drive technical strategy across handling and prevent initiatives, architect robust AI systems, establish post-deployment monitoring, and lead complex automation initiatives to reduce financial crime risk across Wise.\nHere’s how you’ll be contributing:\nEnd-to-End Automation & EDD LLMs: Lead the development and deployment of AI models designed to augment operational workflows (e.g. Business and Consumer EDD LLMs), specifically targeting the automation of case summaries, red flag generation, risk classifications, and document requests.\n\nEvaluation Framework & Labeling Taxonomy: Establish labeling taxonomies and guidelines with EDD SMEs, construct evaluation datasets, and implement automated eval harnesses to systematically measure accuracy, precision, recall, and failure modes.\n\nPrompt Optimization & Experimentation: Audit existing prompts and run structured experiments (few-shot, chain-of-thought, context ordering) within a hypothesis-driven testing framework to reduce hallucinations, formatting errors, and prompt drift.\n\nShadow Testing & Monitoring: Design shadow mode deployments and parallel execution testing to safely evaluate prompts at scale, while implementing post-deployment monitoring for data and output drift.\n\nFull-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.\n\nHuman-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.\n\nStrategic 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.\n\nTechnical Leadership & Mentorship: Set technical direction, mentor Senior and Junior Data Scientists, foster a product-focused mindset, and guide the team through complex technical implementations, architectural decisions, and AI governance standards.\n\nA bit about you:\nExperience implementing, training, testing and evaluating performance of Machine Learning systems;\n\nStrong Python knowledge. A big plus for proven familiarity and experience with OOP principles;\n\nKnowledge and experience developing and evaluating GenAI / LLM solutions, including automated eval harnesses and prompt engineering;\n\nExperience with statistical analysis, experiment design, and failure mode analysis in LLM systems;\n\nA strong product mindset with the ability to work independently in a cross-functional and cross-team environment;\n\nGood communication skills and ability to get the point across to non-technical individuals and SMEs;\n\nStrong problem solving skills with the ability to help refine problem statements and figure out how to solve them.\n\nSome extra skills that are great (but not essential):\nFamiliarity with automating operational processes via technical solutions, for example Large Language Models\n\nExperience implementing fine-tuning, reinforced learning alignment and evaluation techniques within an LLM training pipeline.\n\nFamiliarity with agentic frameworks such as LangGraph or similar.\n\nWillingness to get hands dirty reading many, many historical operational cases.\n\nWorking knowledge of Java.\n\nWe’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.\nAlso, 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.\nAnd 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.\nOffice: London\nKey benefits:\nStock options in a profitable company\n\nHybrid working model - whether it’s working from home, working overseas, school plays or life admin we get that flexibility is essential\n\nAnnual personal development budget - whether it’s for books, courses, or conferences\n\nVisa and relocation support\n\nYou can read more about our full benefits package here...\nFor 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.\nWe're proud to have a truly international team, and we celebrate our differences.\nInclusive 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.\nIf you want to find out more about what it's like to work at Wise visit Wise.Jobs.\nKeep up to date with life at Wise by following us on LinkedIn and Instagram.","description_format":"text","description_chars":6417,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work","Stock options"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Financial Services","Money Transfer & Remittances","Currency Exchange & FX Payments"],"lifecycle":[{"event":"open","at":"2026-10-01T23:39:57Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":22,"reasons":["conf:30","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":168066,"is_top_pay":false},"html_url":"https://alion.io/job/wise-lead-data-scientist-aml-handling","json_url":"https://alion.io/job/wise-lead-data-scientist-aml-handling.json","meta":{"generated_at":"2026-10-04T02:26:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3483,"day_limit":5000,"remaining_today":1517,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}