{"id":2468538,"url":"https://alion.io/job/modelwise-lead-data-scientist-recieve-risk","title":"Lead Data Scientist - Recieve Risk","company":{"id":4410409,"name":"Modelwise","domain":"modelwise.ai","url":"https://alion.io/company/modelwise-gmbh","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":76,"open_postings":35,"ghost_share":0,"stale_share":0.943,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"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":null,"salary_estimate":{"min_usd":105000,"max_usd":187000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-13T13:19:30Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T23:51:41Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Company Description\nWise 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.\nJob Description\nWe’re looking for a Lead Data Scientist to join our growing Receive Team in London.\nThis role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers.\nRole Overview:\nAs a Lead Data Scientist on the Receive team, you will leverage your expertise in data science to identify, design and deploy models that improve how customers receive and add money with Wise. Your work will help us make better decisions, improve customer outcomes, and build scalable data science capabilities for a growing product area. You will collaborate closely with cross-functional teams, including engineering, product, analytics, operations and risk management.\nKey Responsibilities:\nLead the development and deployment of machine learning models and data science solutions to improve Receive product performance across different Wise markets\n\nAnalyse large volumes of customer, transaction and product data to identify trends, patterns, risks and opportunities\n\nDesign and implement experiments to evaluate the effectiveness of product changes, decisioning systems and customer experience improvements\n\nBuild scalable modelling approaches that support better prioritisation, personalisation, risk management and operational decision-making\n\nCollaborate with analysts, product managers, engineers, operations and risk teams to translate business requirements into actionable data science solutions\n\nDevelop robust data pipelines, algorithms and tools to support production-grade modelling and decision-making\n\nStay informed about the latest advancements in data science, machine learning, and payment fraud prevention techniques to ensure state-of-the-art capabilities in the Spend domain\n\nA bit about you:\nProven track record of deploying models from scratch, including data preprocessing, feature engineering, model selection, evaluation, and monitoring\n\nSolid knowledge of Python, and ability to make and justify design decisions in your code. You know how to use Git to collaborate with others (e.g. opening Pull Requests on GitHub) and are able to review code. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services\n\nExperience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL)\n\nFamiliarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis\n\nExperience with statistical analysis and good presentation skills to drive insight into action;\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;\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):\nExperience with MLOps tools: Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR, CI/CD\n\nPrior experience in the fraud domain and a strong understanding of fraud detection techniques\n\nExperience designing and deploying LLM-based solutions in production\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.\nAdditional Information\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":5374,"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":[]},"benefits":["Hybrid work","Stock options"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Internet Services","Manufacturing","Internet Service Providers"],"lifecycle":[{"event":"open","at":"2026-10-13T19:16:41Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-10-14T00:26:07Z"},"pay":null,"html_url":"https://alion.io/job/modelwise-lead-data-scientist-recieve-risk","json_url":"https://alion.io/job/modelwise-lead-data-scientist-recieve-risk.json","meta":{"generated_at":"2026-10-14T00:26:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":595,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4410409},"rest":"https://alion.io/mcp/rest/get_company?id=4410409"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmodelwise-lead-data-scientist-recieve-risk"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmodelwise-lead-data-scientist-recieve-risk"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmodelwise-lead-data-scientist-recieve-risk"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/modelwise-lead-data-scientist-recieve-risk\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmodelwise-lead-data-scientist-recieve-risk"}]}