Support risk analysis and tool development for Allianz Group Risk.
Compensation
Remuneration: In addition to an attractive salary, you can expect a monthly travel allowance of 30,00 € and a daily lunch allowance in our excellent staff restaurants.
Responsibilities
Develop and enhance Excel- and Python-based analysis tools
Conduct analysis using company specific data and aggregate results
Develop risk dashboards and prepare presentations for senior management
Support automation of business processes using AI
Support daily activities and operations of the Risk Steering team
Requirements
Bachelor's or Master's Degree in Mathematics, Statistics, Business Administration, Finance or comparable studies
Develop and implement AI, GenAI and analytics solutions for Allianz Investment Management, coordinating projects and stakeholder collaboration.
Responsibilities
Work with stakeholders across AIM, external vendors and other Allianz entities to identify use cases and translate business requirements into technical solutions
Contribute to AI, GenAI, analytics and data projects from concept to implementation, take responsibility for defined workstreams and present results and recommendations to AIM management
Develop and enhance applications as part of the engineering team, turning ideas and prototypes into practical solutions
Support GenAI adoption across AIM by developing training and enablement formats such as workshops and town halls
Contribute to AIM’s AI and Analytics governance in line with regulatory and Allianz Group requirements and evaluate emerging technologies and use cases
Requirements
Master’s degree in computer science, data science, (financial) mathematics, business informatics or a related field
Data Analyst supporting the SB CIN Population Health IT Team, responsible for data ingestion, validation, mapping, and analytics within the Population Health Platform.
Compensation
Salary Range: $120,135 - $135,120 (pay will be determined based on experience, preferred qualifications, and education)
Responsibilities
Acquire and ingest data from multiple CIN Program participants
Validate and map data into the Population Health Platform
Develop SQL queries to generate reports and create data marts
Support Cerner’s Population Health Management suite
Maintain knowledge of Managed Care and ACO program specifications
Requirements
Bachelor’s Degree in Computer Science, Mathematics, Statistics, or other applied science field
Lead the design, operation, and modernization of enterprise voice infrastructure, managing hybrid Avaya communications environment and ensuring reliability, security, and scalability.
Responsibilities
Design, configure, and maintain on-premises hybrid PBX system
Configure and maintain QoS policies across LAN and WAN
Troubleshoot and resolve complex telephony issues
Manage Direct Inward Dial numbers and SIP trunks
Implement and maintain security best practices for voice and network infrastructure
Develop and enhance pricing strategies for Honda’s Parts business across multiple vehicle categories, collaborating with sales and operations teams to drive profitability and market competitiveness.
Responsibilities
Elevate commercial performance of the UK Aftersales Parts business
Conduct pricing elasticity analysis using customer and market data
Develop and enhance pricing processes and promotional campaigns
Analyse key performance indicators such as Volume, Turnover and Profit
Collaborate with Sales and logistic divisions for new model launches
Requirements
Nice to have: Experience within the automotive industry
Nice to have: Experience of data visualisation and analysis tools
Transforms maintenance, condition monitoring and control system data into actionable decisions to improve safety, reliability and availability of Seadrill fleet assets.
Responsibilities
Analyze fleet condition monitoring data to diagnose machinery faults
Use Maximo and data analytics to identify recurring failures and reliability trends
Translate findings into prioritized maintenance recommendations
Develop data-driven and AI-supported decision tools
Train onshore and offshore personnel on maintenance processes and Maximo use
Requirements
Bachelor’s degree in a relevant engineering or technical field
Nice to have: Maximo or similar asset management systems
Nice to have: offshore marine/subsea experience
Nice to have: machine learning for condition monitoring
Drive validation of clinical data science processes, ensuring they are fit for intended use before they touch study data.
Locations (2)
Søborg, Capital Region, Denmark
Aalborg, North Denmark, Denmark
Compensation
For this role, the Annual Base Salary ranges from 742,600.00 DKK to 1,091,600.00 DKK, corresponding to the level of the position.
Responsibilities
Drive validation of clinical data science processes
Plan and coordinate validation for new or updated processes
Assess and document process risks
Prepare and maintain Process Validation Plans and Reports
Run risk-based walkthroughs and spot checks
Requirements
A degree in information technology, computer science, engineering, data science, life sciences or a related discipline, or equivalent relevant professional experience
The proposed salary range for this position is: $120,800 - $265,800
Responsibilities
Craft and execute an innovative AI strategy that will revolutionize the Army Intelligence Enterprise
Lead high-impact AI projects from conception to completion
Spearhead cutting-edge research initiatives and explore advanced AI projects
Define and evaluate AI and data system requirements to ensure they meet technical feasibility, functional adequacy, and align with evolving Army materiel requirements
Collaborate with data teams to establish, enforce, and maintain data and AI standards across the Intelligence Enterprise
Senior AI & ML Engineer responsible for building, deploying, and operating enterprise AI platform capabilities for financial services and insurance.
Compensation
In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually.
Responsibilities
Build, apply, and promote adoption of platform-wide standards, reusable design patterns, and golden-path templates for AI solutions
Drive end-to-end delivery of new platform capabilities from technical discovery to production rollout
Build and operationalize the core platform service catalog including LLM gateway, prompt lifecycle management, agentic orchestration, RAG pipelines, vector stores, and model registries
Build and maintain robust CI/CD and AIOps pipelines for AI systems
Implement enterprise-grade multi-agent and single-agent workflow patterns for high-value business use cases
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent
Master’s degree in AI, Machine Learning, Data Science, or related discipline (preferred)
Nice to have: Master’s degree in AI, Machine Learning, Data Science, or related discipline
Nice to have: Consulting or enterprise delivery background
Nice to have: Experience in regulated industries (insurance, financial services, or healthcare)
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