{"id":3468929,"url":"https://alion.io/job/grape-applied-ml-engineerdata-scientist","title":"Applied ML Engineer/Data Scientist","company":{"id":2333698,"name":"grape","domain":"grapehealth.ch","url":"https://alion.io/company/grapehealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":236000,"period":"year","method":"role_country_seniority_unknown","sample_n":21},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SHAP","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-29T10:43:50Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-03T11:40:08Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Your role\nOur data and tech give us an edge in risk assessment, pricing and premium calculation. This role turns that into accurate models that support our carrier partners and our growth, builds tuned models where they beat rules and off-the-shelf LLMs in claims (triage, intervention, return-to-work, fraud), and responsibly explores how data can help employees stay healthy through grape Care.\nWe’re looking for an applied ML engineer / data scientist to build predictive models from the ground up on real, regulated insurance data. You’ll own problems end to end, from effective-dated records to production, in a domain where correctness and responsible use genuinely matter.\nStarting points include pricing and risk, portfolio monitoring, claims and payment patterns, triage and return-to-work, absence, and fraud detection. grape sits on a rich dataset, though, and you’ll help find the next high-value use cases. You’re candid about what the data can support, and you propose simpler approaches when they’re the right answer.\nThis is not an LLM role. LLM and agent workflows and document extraction sit with our engineering teams, and you’ll use their outputs as features.\nWhat you'll do:\nBuild and validate models\nOwn the full model lifecycle: feature engineering, training, evaluation, explainability, deployment, and drift monitoring.\nBacktest on the historical book and run models in shadow mode alongside human decision-makers, reporting where and why they disagree.\nProduce audit-ready validation and governance documentation that actuarial, compliance, and carrier partners can review.\nPlatform and MLOps\nDeploy models on grape’s cloud platform within strict security and data-residency requirements for health data.\nSet up experiment tracking, model versioning, and production monitoring, partnering with engineering on integration.\nShape the problem space\nIdentify and prioritize high-value use cases as you explore the dataset, rather than waiting to be handed problems.\nTurn ambiguous business questions into well-defined, measurable modelling.\nResponsible & explainable by design\nBuild privacy, fairness, and explainability into every model that touches personal or health data, working with compliance and legal on nDSG/GDPR boundaries.\nModels support decisions; accountable owners make them. Pricing, reserving, and claims work requires licensed-actuary sign-off, and any automation requires governance approval first.\nCollaborate\nExplain model behavior and limits to underwriting, claims, actuarial, and compliance teams.\nWhat you'll need:\nStrong applied ML and statistics: supervised and unsupervised learning, anomaly detection, time-series, and survival/duration modeling.\nProven experience building models on real-world, relational, effective-dated data, including imbalanced outcomes.\nFluent Python (pandas, scikit-learn, a modern ML stack) and strong SQL.\nSolid grasp of validation, calibration, and explainability (e.g. SHAP).\nProduction MLOps: experiment tracking, versioning, and drift monitoring.\nSound judgment on data privacy and modelling.\nFluent English.\nBias for action, ownership, and clear cross-functional communication.\nBig plus:\nInsurance, actuarial, or risk modeling (pricing, reserving, loss ratios).\nHealth, disability, or absence data, especially Swiss insurance (KTG, UVG); fraud detection in claims.\nRegulated special-category data under nDSG/GDPR, or model risk management.\nGoogle Cloud, including security-restricted deployments.\nGerman language skills.","description_format":"text","description_chars":3503,"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":"German","level":"All levels","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Switzerland","iso":"CH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Insurance & Benefits","HR & Payroll Software"],"lifecycle":[{"event":"open","at":"2026-10-29T16:19:55Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":4,"expected_fill_days":146,"reasons":["conf:3","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/grape-applied-ml-engineerdata-scientist","json_url":"https://alion.io/job/grape-applied-ml-engineerdata-scientist.json","meta":{"generated_at":"2026-11-03T14:27:17Z","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":20342,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":2333698},"rest":"https://alion.io/mcp/rest/get_company?id=2333698"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgrape-applied-ml-engineerdata-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%2Fgrape-applied-ml-engineerdata-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%2Fgrape-applied-ml-engineerdata-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/grape-applied-ml-engineerdata-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgrape-applied-ml-engineerdata-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3468929}},{"tool":"search_jobs","arguments":{"company":"grapehealth.ch","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3468929},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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