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Reposted 21 Days AgoSaved
Remote
OH, USA
75K-126K Annually
Senior level
75K-126K Annually
Senior level
Insurance
Monitor and optimize programmatic advertising campaigns using real-time and historical data. Diagnose performance issues, design and evaluate A/B and multivariate tests, collaborate with AdOps, Product, and Data Science to operationalize ML-driven optimization, and help evolve manual campaign management into automated decisioning systems to improve revenue and campaign performance.
Top Skills: PythonSQL
Reposted 22 Days AgoSaved
Remote
Office, Machaze, Manica, MOZ
74K-117K Annually
Junior
74K-117K Annually
Junior
Insurance
The Actuarial Analyst role involves executing pricing and reserving projects in insurance, analyzing data with statistical techniques, and supporting business strategies.
Top Skills: Business AnalysisBusiness Process DevelopmentData AnalyticsFinancial Analysis
Reposted 22 Days AgoSaved
Remote
AB, CAN
60K-94K Annually
Senior level
60K-94K Annually
Senior level
Insurance
Handle moderately complex, unrepresented Ontario Accident Benefits and related injury claims: investigate, interpret policy coverage, set reserves, negotiate and settle claims, document files, liaise with claimants, vendors, medical professionals and lawyers, and support/mentor Accident Benefit Claim Advisors.
Reposted 22 Days AgoSaved
Remote
US
98K-151K Annually
Senior level
98K-151K Annually
Senior level
Insurance
Lead complex audits of AI, generative AI, and data-driven systems. Design audit methodologies, execute testing (including Python/SQL analytics), assess AI governance, controls, and third-party oversight, communicate findings to senior leaders, and coach audit teams to advance AI audit capabilities and automation.
Top Skills: Aws BedrockAws SagemakerAzure Ai FoundryAzure Ml StudioGcp BigqueryGcp Vertex AiGenerative AiLarge Language Models (Llms)M365 Copilot StudioOpenaiPythonSQL
23 Days AgoSaved
Remote
IT
81K-110K Annually
Senior level
81K-110K Annually
Senior level
Insurance
Design, build, test, deploy and maintain organizational REST APIs and microservices. Implement integration solutions, message transformations (XML↔JSON), ensure performance, security, CI/CD, logging/monitoring, and mentor team members. Participate in design/code reviews, documentation, and agile delivery across distributed teams.
Top Skills: Ci/CdDatadogGitIntellijIrisJavaJenkinsJSONJunitLinuxMicroservicesRestSecure CodingSplunkSpringSQLTddVisual StudioWindowsXML
23 Days AgoSaved
Hybrid
3 Locations
Mid level
Mid level
Insurance
Lead and manage a team designing, developing, deploying, and supporting Workday integrations across HCM, Payroll, Benefits, Recruiting and other modules. Define integration strategy, engineering standards, CI/CD and IaC practices, ensure security/compliance, oversee production support and incident management, and partner with stakeholders to deliver scalable enterprise integration solutions.
Top Skills: APIsAutomated TestingCi/CdCloud Integration ServicesEnterprise Messaging FrameworksIamInfrastructure As CodeMiddleware PlatformsMonitoringObservabilityRbacSsoWorkday ExtendWorkday HcmWorkday OrchestrateWorkday SecurityWorkday Studio
Reposted 23 Days AgoSaved
Remote
TX, USA
70K-121K Annually
Entry level
70K-121K Annually
Entry level
Insurance
As an Early Career Trial Attorney, you will manage insurance defense litigation, conduct legal research, draft legal documents, and provide counsel, while also participating in training and mentorship for professional growth.
24 Days AgoSaved
Remote
Canonga, Moxico, AGO
48K-73K Annually
Mid level
48K-73K Annually
Mid level
Insurance
Investigate complex automobile claims, review policies and coverages, determine liability, settle claims per company policy, collaborate with customers, repair shops, law enforcement and other insurers, document findings, and provide excellent customer service using company systems.
Reposted 25 Days AgoSaved
Remote
IL, USA
110K-181K Annually
Mid level
110K-181K Annually
Mid level
Insurance
Design, build, deploy, and operate production machine learning models across the full ML lifecycle: data exploration, feature engineering, model building, deployment, monitoring, and continuous improvement. Collaborate via pair programming and TDD; mentor junior engineers and lead ML initiatives at senior levels.
Top Skills: APIsAWSAzureAzure MlCi/CdComputer VisionContainersDockerDrift DetectionGCPJavaLightgbmLlmMlflowMonitoringNlpNumpyPandasPythonPyTorchRagSagemakerScikit-LearnShapSparkSQLTensorFlowTerraformTypescriptXgboost
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