{"id":2409380,"url":"https://alion.io/job/modelwise-lead-data-scientist-causal-inference","title":"Lead Data Scientist - Causal Inference","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":"on_site","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":108000,"max_usd":192000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-07T15:35:12Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-10-13T19:16:41Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"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\nAbout the role\nWe’re looking for an experienced Data Scientist to join our Customer Support team in London, working as part of a team based across London and Budapest.\nYou’ll help us understand how well our customer support experience is working, identify the biggest opportunities for improvement, and shape the path towards greater automation.\nThis is an analytical Data Science role with a strong product focus. You’ll use customer, conversational and operational data to measure service quality, diagnose issues, propose solutions and evaluate whether they improve outcomes. A key part of the role is simplifying complex customer journeys and operational systems into clear, tractable problems the team can act on.\nYou’ll work closely with Product, Design, Operations and Engineering to build a shared understanding of how the system works and turn insight into action.no\nWhat you’ll do\nMeasure and diagnose\nBuild a clear, data-driven understanding of customer support quality across human and automated channels.\n\nDesign metrics that reflect meaningful customer outcomes, including resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness.\n\nIdentify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes.\n\nIdentify and test solutions\nTurn analytical insight into concrete proposals to improve the customer experience, including product changes, process improvements, automation and better human support.\n\nQuantify the potential impact and value of opportunities to help the team prioritise where to invest.\n\nDesign and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes.\n\nUse statistical modelling and causal inference where controlled experiments are not practical.\n\nShape the automation strategy\nDetermine the right intervention for different customer problems - whether they should be automated, augmented by AI, handled by people or prevented altogether.\n\nTest and evaluate interventions to understand their impact on customer outcomes, operational effectiveness and cost.\n\nShape the long-term automation capability roadmap, identifying what we should build next to maximise the value delivered over time.\n\nWhat we’re looking for\nEssential\nAn ability to simplify complex systems and ambiguous problems into clear hypotheses, useful abstractions and tractable analytical questions.\n\nStrong analytical judgement, with the ability to get to a useful answer quickly, refine it iteratively, and know when the evidence is sufficient to support a decision.\n\nStrong SQL and Python skills, with experience working with large, complex and imperfect datasets.\n\nStrong grounding in statistical analysis (e.g., classical ANOVA, non-parametric uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies.\n\nExperience applying machine learning, statistical modelling, NLP and LLM-based techniques to analyse customer behaviour and conversational data, diagnose root causes and identify the drivers of outcomes.\n\nExperience designing measurement frameworks for complex customer journeys and evaluating the impact of interventions.\n\nStrong product and business judgement, with a track record of using Data Science to influence important business decisions and drive measurable impact.\n\nPreferred\nExperience working on customer-facing products, ideally in customer support, customer operations or another high-volume service environment.\n\nExperience evaluating the impact of automation or AI-powered customer experiences.\n\nExperience applying predictive or behavioural modelling to support product or operational decision-making.\n\nExperience working with sensitive customer data in environments with strong security, privacy or compliance requirements.\n\nExperience combining quantitative analysis with qualitative or expert insight to solve complex problems.\n\nFamiliarity with modern analytics and machine learning tooling in a cloud environment such as AWS.\n\nWhat success looks like\nSuccess in this role means making a complex customer support system understandable enough that the team can make better decisions about it.\nYou’ll create clear ways of thinking about customer support quality, identify the biggest opportunities to improve outcomes, and turn those insights into concrete interventions that can be tested and measured.\nOver time, you’ll help us make better decisions about where to automate, where to invest in human support, and which new capabilities to build - creating a support model that delivers more value to customers while becoming increasingly effective and scalable.\nAdditional Information\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":5967,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Internet Services","Manufacturing","Internet Service Providers"],"lifecycle":[{"event":"open","at":"2026-10-13T01:48:03Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.458,"p_room":0.55,"age_days":35,"expected_fill_days":29,"reasons":["conf:0","stale_co","win:tail","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/modelwise-lead-data-scientist-causal-inference","json_url":"https://alion.io/job/modelwise-lead-data-scientist-causal-inference.json","meta":{"generated_at":"2026-10-13T23:40:23Z","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":36073,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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-causal-inference"},{"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-causal-inference"},{"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-causal-inference"},{"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-causal-inference\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmodelwise-lead-data-scientist-causal-inference"}]}