Insurance and Actuarial
251 open positions
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(Senior) Applied Scientist (Machine Learning) (w/m/d) Huk CoburgCoburg (Kreis), Bayern 3mo Transform data into value for 13M+ customers by developing production-ready ML applications for pricing, claims management, and new product development.
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Insurance Specialist - Freelance AI Trainer Project AgencyRemote $0k–$0k3mo Insurance expert evaluating and correcting large language models on policy analysis, claims management, risk assessment, and regulatory compliance to improve AI reasoning.
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Senior Manager - Machine Learning CccisChicago (Green St), IL $137k–$137k3mo Lead the Machine Learning team in the subrogation business to enhance technological edge and deliver cutting-edge ML features for CCC's subrogation products.
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(AIG Sonpo) 【第二新卒歓迎】Data Scientist（ビジネスDX・業務プロセス改善担当） AigMinato-ku, Tokyo 3mo Implementing business process improvements and operational efficiency solutions using data and technology (including legacy tools and generative AI) for the corporate insurance division.
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Actuarial and Data Science Model Validation ThehartfordHartford, CT $108k–$108k3mo Lead validation of AI, GenAI, and traditional actuarial models to ensure integrity, accuracy, and regulatory compliance across an insurance enterprise.
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Senior Actuarial Solutions Engineer HyperexponentialNew York (hybrid) $160k–$160k3mo Senior Solutions Engineer driving technical wins for the AI-powered insurance pricing and underwriting platform, hx Renew, by designing demos and proofs of value for actuaries, underwriters, and IT leaders.
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Actuarial Data, Automation and AI PrudentialSingapore 3mo Lead actuarial data, automation, and AI initiatives to modernize reporting processes, unlock business insights, and scale practical AI solutions within the insurance sector.
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Forward Deployed Operations HarperSan Francisco $125k–$125k3mo Synthesize disconnected operational streams (sales, underwriting, carrier relations) to identify critical problems and build AI agents, internal tools, and workflow automations that remove friction.
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Lead Risk Analytics Data Scientist ExtendRemote, US $125k–$125k3mo Designing premium structures and risk monitoring tooling for product protection and shipping protection offerings to maintain healthy loss ratios and support business decisions.
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Data Scientist II↗ IntactToronto, Ontario, Canada $94k–$115k3mo Build and deliver end-to-end data science solutions, framing problems with partners, developing and validating models with strong scientific practices, and translating complex data into clear insights and recommendations.
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Director, Data Science PureinsuranceRemote - US $170k–$170k3mo Lead and professionalize the data science practice to build a production-grade engine influencing decisions across Claims, Underwriting, Risk Management, and Distribution.
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Data Scientist: France ShifttechnologyRemote 3mo Design and evolve AI agents for fraud detection, anti-money laundering, and claims automation in the insurance sector.
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Data Scientist AxaMilano, Provincia di Milano 3mo Developing advanced AI models for intelligent automation across insurance lines (Claims, P&C, Health) with a focus on unstructured data processing (images, documents) and Generative AI.
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Senior Manager, AI Search & Discovery (GEO/AEO) InsurifyCambridge, MA $120k–$120k3mo Manage the day-to-day operating system for AI search visibility, improving how Insurify is discovered, described, and recommended across AI-powered search and generative answer engines.
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Applied Scientist II Coalition, Inc.Remote $116k–$116k3mo Build and improve machine learning and GenAI models that power underwriting decisions, risk selection, and pricing for cyber insurance.
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Data Scientist SKL ActuarialThe Rocks, Sydney 3mo Solving business problems for high-profile clients in insurance, banking, and government sectors through analytics, modeling, and machine learning.
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FBS - Data Scientist Predictive Analyst (Mid Level) CapgeminiRemote 3mo Transform raw insurance data into actionable insights and deployable models to support pricing, underwriting, and business strategy decisions while designing scalable data models.
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AI Trainer - Automotive Expertise Required HumanSignalRemote $0k–$0k4mo Reviewing photos of damaged vehicles to mark affected areas (scratches, dents, cracks) and identify involved parts (door, bumper, hood) to assist insurance customers with faster, fairer damage assessments.
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Pension Specialist - AI Trainer - Freelance - 8-20hr p/w - Remote 10xteamRemote 4mo Review and refine AI-generated outputs related to actuarial analysis, risk modelling, and documentation to ensure accuracy and compliance with real-world requirements.
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Data Science Manager ArchgroupLondon, United Kingdom 4mo Lead a team of predictive modelers and data scientists to develop advanced analytics solutions and predictive models that drive business decisions for the insurance industry.
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Lead Data Scientist – Underwriting AI ManulifeHong Kong 4mo Lead a team of data scientists to design, develop, and deploy AI, ML, and Generative AI solutions for underwriting decision-making, risk assessment, and workflow automation across Asia.
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Prompt Engineer ExlLondon, UK 4mo Design, optimize, and govern GenAI-driven underwriting assistants and AI workflows for the insurance domain, focusing on summarization, risk insights, and adverse media analysis.
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Specialist - Data Scientist AiaCyberjaya, MY-AIA Shared Services Malaysia 4mo Design, develop, and deliver automation and digital solutions across business processes and data analytics to support enterprise-wide transformation initiatives.
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Algorithm Engineer KiLondon, England, United Kingdom 5mo Design, develop, and maintain machine learning-enabled underwriting algorithms for risk assessment and portfolio management across 25+ insurance classes.
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Experienced Data Scientist AoinsLansing, MI 6mo Design, develop, validate, and deploy statistical and machine learning models to address complex business needs and comply with regulatory requirements in the insurance sector.
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?Actuarial Data Scientist / Aktuar:in / Mathematiker:in im Pricing (w/m/d) Coburg, BAYERN 8mo Developing modern actuarial pricing models using data science and machine learning to calculate tariffs, discounts, and refunds for insurance products.
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?Data-Engineer/-Scientist (m/w/d) im Aktuariat Köln, NORDRHEIN_WESTFALEN 8mo Extract structured data from documents, migrate and optimize control processes on a Smart Data Platform, and drive process optimization using multivariate and AI-driven analysis methods for life insurance risk analysis and product development.
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Data Scientist | On-site | George, Western Cape Badger HoldingsWestern Cape, South Africa 1y Shape business strategy, pricing, and customer outcomes by applying data science and actuarial thinking to turn data into decisions.
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?Data Scientist (m/w/d) Remote 5y Lead end-to-end Data Science projects from ideation to production integration, building relationships with business functions to deliver advanced analytics solutions with measurable impact.
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Head of US Distribution TestudoNew York City, NY $150k–$150k Own distribution strategy and producer relationships from zero to one for generative AI liability insurance in the US.
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Cofounder-in-Residence, Casey (AI for Insurance Fraud Investigations) BetterFutureLabsInternational Lead traction, product roadmap, and funding for an AI-native startup automating insurance fraud investigations using multi-agent and multimodal AI.
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?Job Build advanced analytic solutions and production-grade R Shiny applications for data-driven decision-making in the insurance industry.
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Staff Machine Learning Engineer
SteadilyRemote friendly
End-to-end Machine Learning Engineer owning data pipelines, feature engineering, model building, and deployment to improve product outcomes and operations.
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?Data Scientist (m/w/x) Wien $47k–$47k Develop, train, and optimize machine learning and AI models for innovative applications within the Austrian social insurance system.
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Insurance Operations Specialist Kay.aiUnited States, New York, NY Act as a Human-in-the-Loop (HITL) specialist to execute and review insurance operational workflows, helping AI co-workers learn and perform better by identifying failure points and system bugs.
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