Data specialist állások, munkák it programozás, fejlesztés területen

Act as the central implementation resource for AI and automation initiatives within Finance and serve as the primary interface to the firm's central AI team;...

• Risk quantification, pricing, reserving and Solvency II analyses
• Development and automation of Excel- and Remetrica-based tools
• Use Python and AI assisted approaches to speed up data collection/validation, and improve reconciliation/movement analysis

• You lead and develop a team of IT professionals, focusing on coaching, performance management, and fostering a high-performance culture.
• You assume End-to-End Service Ownership for critical ERP applications (SAP ECC/S/4HANA), ensuring optimal functionality and timely incident resolution.

Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the technical architecture, data pipelines, and orchestration systems required for high-traffic AI services. Ensure the ecosystem supports highly available, low-latency...

Design, implement, and maintain data pipelines that integrate multimodal, structured and unstructured clinical and surgical data from proprietary data collection systems and electronic health record systems, supporting both retrospective analyses and secure live or near-real-time data flows in...

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

• Informatikai fejlesztési projektekben való részvétel
• Üzleti igények felmérése
• Érintett rendszerek meghatározása
• Függőségek és előfeltételek vizsgálata
• Pénzforgalmi folyamatok fejlesztési projektjeiben való részvétel
• Üzleti szakterületek IT oldali támogatása
• Üzleti követelmény specifikációk elkészítése

Lead the lifecycle of ICT risk assessments, from initial risk identification and execution to final remediation monitoring....

• Define, communicate, and maintain product goals, and priorities.
• Manage the complete software product lifecycle, including ideation, requirements definition, development, release, adoption, optimization, and end-of-life planning.

Architect AI Workflows: Design, deploy, and govern E2E, multi-step Agentic AI solutions and automations that target high-volume processes, cross-team friction, and manual back-office tasks....

• The customer from the first calls on: take apart their decision problem live, pre-sales, and turn it into a first mini model.
• Scope and lead the development project end-to-end; own the result, not just the planning and organisation.

• Tervezés és üzemeltetés AI-ügynökök és automatizált delivery pipeline-ok infrastruktúráján OKD/OpenShift platformon
• Integráció LLM-alapú eszközökkel a DevOps folyamatokba automatizált kódreview-k, tesztfuttatások és runbook-generálás kialakításával

Support end-to-end governance of third-party relationships — onboarding, oversight, contract governance, performance monitoring, and exit planning — ensuring compliance with internal policies and regulatory requirements....

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Owning the end-to-end delivery lifecycle of Product Order Management and Shopping Cart
• Acting as the go-to technical delivery partner aligning business, IT, architecture, and leadership
• Shaping and prioritizing the backlog together with stakeholders