{"id":4040551,"url":"https://alion.io/job/munich-re-data-scientist","title":"Data Scientist","company":{"id":36686,"name":"Munich Re","domain":"munichre.com","url":"https://alion.io/company/munichre","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":1127,"ghost_share":0.402,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-11T05:49:22Z"}},"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":["Ann Arbor, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-11-10T22:02:49Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T07:27:00Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"Drive the future of AI-powered decision-making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.\nAmerican Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can’t. We write admitted products in all 50 states and have a premium volume of $2.2 billion.\nHeadquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re’s Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.\nJoin our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy models and verify system performance, and monitor models post-deployment, making adjustments as needed. Join us in building AI/ML models that truly drive business value and make a measurable impact.\nRoles & Responsibilities:\nBuild and deploy AI/ML models with general guidance.\nAct as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing.\nParticipate in the development of modeling presentations and present results/topics to stakeholders (internal & external) and management as requested.\nConcentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.\nComplete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.\nIdentify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.\nDocument and communicate assumptions, results, and alternatives to team members and internal stakeholders with guidance.\nCreate and maintain modeling best practices and new techniques in coordination with internal and external business partners.\nExplain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders’ requests and hidden issues and explain possible solutions in their language.\nSchedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.\nMaintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.\nRequired Technical Skills:\nProficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge.\nDemonstrated experience building and deploying statistical and machine learning models to address business challenges.\nSkilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.\nExperience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.\nFamiliarity with tools such as MLflow for model experimentation and registration, Git for version control, and agile frameworks using tools like Azure DevOps.\nSkills / Knowledge / Experience:\nDevelop and project manage modeling projects and statistical analyses.\nEffectively communicate results to business partners and help drive business decisions.\nParticipate in creation and discussion of best practices and propose new techniques.\nMentor junior team members.\nData Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry.\nSr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re)insurance or 6 or more years predictive modeling experience in another industry.\nEducation, Certifications & Designations:\nMaster’s degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major\nWe are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:\nTwo options for your health insurance plan (PPO or High Deductible)\nPrescription drug coverage (included in your health insurance plan)\nVision and dental insurance plans\nShort and Long Term Disability coverage\nSupplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)\nVoluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)\nIn addition to the above insurance offerings, our employees also enjoy:\nA robust 401k plan with up to a 5% employer match\nA retirement savings plan that is 100% company funded\nPaid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries\nEligibility to receive a yearly bonus as a Munich Re employee\nA variety of health and wellness programs provided at no cost\nA hybrid environment that gives you a choice in where and how you get work done\nA corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop\nAn on-site complimentary workout facility as well as walking trails on campus grounds\nOn-site wellness center complete with nurse practitioner\nFinancial assistance for adoptions and infertility treatment\nPaid time off for eligible family care needs\nTuition assistance and educational achievement bonuses\nFree parking\nA corporate matching gifts program that further enhances your charitable donation\nPaid time off to volunteer in your community\nAt American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.\nWe are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nApplicants requiring employer sponsorship of a visa will not be considered for this position.","description_format":"text","description_chars":7373,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Cafeteria","Dental insurance","Health insurance","Life insurance","Retirement plans","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Life Insurance & Annuities","Reinsurance"],"lifecycle":[{"event":"open","at":"2026-11-10T22:02:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":7,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 26 · green card filings: 16","filings_12m":26,"filings_prev_12m":34,"green_card_filings_12m":16,"median_offered_wage_usd":145833,"route":null,"cap_exempt":false,"checked_at":"2026-11-11T07:38:50+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)","Alion: sponsorship offered in the employer's own job adverts (24 months)"],"filings_for_role_12m":2}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":42,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-11-11T05:49:22Z"},"pay":null,"html_url":"https://alion.io/job/munich-re-data-scientist","json_url":"https://alion.io/job/munich-re-data-scientist.json","meta":{"generated_at":"2026-11-11T11:22:39Z","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":19817,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":36686},"rest":"https://alion.io/mcp/rest/get_company?id=36686"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmunich-re-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fmunich-re-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fmunich-re-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/munich-re-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmunich-re-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4040551}},{"tool":"search_jobs","arguments":{"company":"munichre.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4040551},"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); https://alion.io/mcp with an Alion account has everything. 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