Adatanalitikus állások Külföldön (it programozás, fejlesztés)

• Central responsibility for solutions in MDM/MDG, PIM and GS1/GDSN
• Provision of required data endpoints with aggregated data from various (sub-)systems for Business Intelligence & Analytics solution in coordination with the specialist departments

• Developing reference architecture and transformation plans promoting SAP best practices
• Provide architecture guidance using RISE with SAP methodology and Clean Core principles to ensure that every customer benefits from SAP‘s standard cloud qualities

• Extract and process data and perform analysis using Excel and Python
• Use case professionalization in Microsoft Azure (Data factory & Databricks)
• Further development of the Cash-Flow forecasting method

• Web app development, deployment, and maintenance
• Curation of pipelines dedicated to efficient, high-throughput data pre-processing and analysis
• Cluster management / server administration
• Distributed computing / software scaling towards grid engines
• Monitoring / workload surveillance of our HPCs

• Model DevelopmentDesign and build MVDA models for Drug Substance manufacturing processes.
• Responsible for the end-to-end technical creation of the model structure.
• Data Pre-processing & CurationApply rigorous data modeling techniques.

• help our business units to migrate data into our SAP landscape and increase the quality level of Data in ERP, CRM, MDG and other systems
• leverage and enhance migration tools and use them to identify and correct/update data discrepancies
• convert and transfer data into our core systems

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

Analyze business require­ments and processes in the sales domain of a globally operating industrial insurer to support our inter­national digitali­zation strategy...

• Design and build, and maintain cloud architectures for scalable, robust AI/GenAI applications across platforms (web, mobile, desktop).
• Leverage cloud-native services to ensure optimal performance, availability, security, and cost efficiency.

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• Support the team in designing and developing an internal dashboard to visualize real-world data from diabetes care
• Explore, define, and implement selected dashboard use cases; actively contribute to deciding which use cases provide the most value

• Lead strategic and operational projects from initial requirements to deployment
• Serve as a primary point of contact for project-related communication and facilitate meetings, manage expectations, and act as a “translator” between technical and non-technical teams

• Developing and deploying AWS IoT–based data logging pipelines to collect and manage sensor and device data
• Designing and implementing data processing workflows and machine learning models using AWS SageMaker

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

Agentic AI (incl. RAG, Retrieval Augmented Generation) applications implementation: Design, implement and maintain Agentic AI applications to support various areas of Octapharma's core business (such as Manufacturing Science and Technologies, Research & Development, Sales)...

- Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions. - Design, train, and optimize AI models using frameworks such as PyTorch and TensorFlow. - Collect, preprocess, and analyze data required for training AI...

• Develop Linux based machine platform and application software architectures from the first idea to series production and operation
• Contribute to our global machine control and connectivity platform
• Design and implement embedded machine application and connectivity software components

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

• Model and transform data using SQL to build clean, well-structured data models that form a reliable foundation for reporting, analytics, and data science.
• Build and maintain dashboards and automated reports that present data clearly and enable stakeholders to independently access insights.