{"id":180114,"url":"https://alion.io/job/model-ml-full-stack-data-scientist","title":"Full Stack Data Scientist","company":{"id":66664,"name":"Model ML","domain":"modelml.com","url":"https://alion.io/company/model-ml","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","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":{"min":100000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Looker","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Windsurf","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-08-31T14:16:04Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-16T10:24:28Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"Full Stack Data Scientist\nLondon\nCompany Overview\nModel ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest-growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. Investors include FT Partners, Y Combinator, LocalGlobe, QED, 13books, and others.\nRole: Full Stack Data Scientist\nThis is not a standard BI or analytics role. You will own the entire data stack end-to-end: pipelines, models, analytics, monitoring, predictive insights, and the internal data products that power how the company operates.\nYou’ll build ETLs, productionise models, develop AI-friendly data structures, and ship insights that help us make product, customer, and operational decisions fast. You’ll work directly with founders, engineering, and GTM teams and be responsible for ensuring our data is accurate, reliable, real-time, and self-servable across the business.\nThis is a high-ownership, high-velocity role. If you enjoy building things from scratch, moving quickly, and turning messy problems into automated systems, you’ll thrive.\nKey Responsibilities\n1. Own the full data pipeline\nBuild and maintain Python-based ETLs and API integrations into Redshift.\nManage orchestration via GitHub Actions (currently no Airflow, no Fivetran).\nEnsure uptime, correctness, and monitoring across all pipelines.\n2. Build and maintain the full analytics layer\nBuild dbt models that are well-structured, documented, and agent-friendly.\nMaintain core business metrics, feature usage metrics, customer health signals, and financial KPIs.\nCreate a clean, scalable semantic layer for LLMs to query reliably.\n3. Predictive analytics & ML\nShip lightweight but production-ready models: churn prediction, usage-based forecasting, anomaly detection, upsell signals, etc.\nImplement monitoring and automate downstream workflows using model outputs.\n4. Self-serve data products\nBuild dashboards in Looker that expose the right metrics to every team.\nMake analytics self-serve so anyone in the company can get answers fast.\nSet up proactive alerting when something breaks, spikes, drops, or trends.\n5. AI-first development\nUse AI coding tools daily (Cursor, Codex, Claude Code, Windsurf) to increase velocity.\nWrite clean, structured code that is easy for AI agents to navigate and edit.\nContribute to internal tools and data products that power Model ML’s agents.\n6. Cross-functional leadership\nWork directly with founders, engineering, product, and GTM.\nCommunicate insights clearly and provide data-led recommendations.\nHelp define the company’s strategy around usage-based pricing, client analytics, product telemetry, and internal operational metrics.\nWhat You Can Expect\nIt won’t be easy. It will be intense, chaotic at times, and fast-moving.\nYou’ll learn more in 6 months here than 2 years anywhere else.\nYou will be responsible for things that break, things that scale, and everything in between.\nIf you like ownership, speed, autonomy, and building from the ground up, you’ll love it.\nIf not, you won’t.\nRequirements\nStrong academic background.\n4+ years experience across full-stack data: ETL, modeling, analytics, predictive work.\nStrong Python (for ETLs + analysis).\nStrong SQL and dbt experience.\nExperience building from scratch at a startup (or a strong desire to).\nComfortable using AI coding tools daily.\nAbility to handle ambiguity, tight timelines, shifting priorities.\nExcellent communication. You must be able to explain what’s happening in the business clearly and quickly.\nNice to Have\nExperience with Redshift, GitHub Actions, AWS.\nExperience in building anomaly detection or metric monitoring systems.\nExperience working with LLMs or designing data layers for agents.\nWhat We Offer\nWork directly with founders (multiple past exits).\nCompetitive salary + equity.\nReal ownership over the data function.\nA chance to shape one of the fastest-growing AI companies in the world.\nA career-defining opportunity if you want to build, lead, and scale.\nInterview Process\nWe keep it fast and efficient.\n30 min intro call (Kesh Data Analytics Team)\n30 min call Nat (CoS)\n30 min technical deep dive (Chaz)","description_format":"text","description_chars":4377,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Financial AI"],"lifecycle":[{"event":"open","at":"2026-08-31T14:25:04Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-10-16T06:21:30+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.7,"p_room":0.55,"age_days":45,"expected_fill_days":38,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":true},"html_url":"https://alion.io/job/model-ml-full-stack-data-scientist","json_url":"https://alion.io/job/model-ml-full-stack-data-scientist.json","meta":{"generated_at":"2026-10-16T10:46:33Z","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":9318,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":66664},"rest":"https://alion.io/mcp/rest/get_company?id=66664"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmodel-ml-full-stack-data-scientist"},{"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%2Fmodel-ml-full-stack-data-scientist"},{"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%2Fmodel-ml-full-stack-data-scientist"},{"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/model-ml-full-stack-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmodel-ml-full-stack-data-scientist"}]}