Data science állások, munkák it programozás, fejlesztés területen

• Managing the project lifecycle delivery of Sustainability & Climate Corporate Solutions for the Corporates client segment
• Serving as the dedicated client liaison during each project engagement

• Work directly with customers to innovate with our technology and improve their business operations.
• Be hands-on and become the experts on Veeva’s technology – set up and tailor our software to solve our customers’ unique business challenges

• Communication with stakeholders for requirements gathering
• Business analysis
• Functional design
• Data structures design
• Prototyping system
• Business logic description
• Use cases
• User stories
• Description of use cases for gaming equipment
• Support customers during acceptance testing and rollout of new functionality

• Mapping current business processes to identify inefficiencies and opportunities for improvement
• Building and maintaining financial and operational models in Excel to support business decision-making
• Translating complex data and user needs into clear, functional requirements

• Planning and overseeing all phases of projects including discovery, development, testing, deployment, and handover
• Managing scope, priorities, milestones, dependencies, resources, quality, timelines, and budgets
• Maintaining clear and timely communication with clients and internal teams

• Üzleti igények összegyűjtése és elemzése
• IT rendszerek és szoftverek elemzése
• Fejlesztési igények meghatározása
• Funkcionális és technikai specifikációk készítése
• Üzleti célok és IT megoldások közötti összhang biztosítása
• Szoftverfejlesztési életciklusban való aktív részvétel

• Understanding business requirements
• Preparation and reconciliation of IT specifications (System Design, Logical Design)
• Cooperation with developer and testing team including participation in bug analysis, IT and Business testing, and active participation in change management

• Az IT termék vagy alkalmazás backlogjának kezelése és priorizálása
• Üzleti és technikai követelmények összegyűjtése és pontosítása
• User story-k, functional specificationök és acceptance criteria-k készítése
• Folyamatos együttműködés fejlesztői és tesztelői csapatokkal

MASTER THESIS: EXPLAINABLE AI FOR MACHINE LEARNING MODELS IN RISK AND FRAUD DETECTION The thesis will focus on Explainable Artificial Intelligence (XAI) for machine learning models in risk and fraud detection for online payments. A key focus will be on applying and evaluating Shapley value-based...

• Development and optimization of AI applications for production and development processes
• Analysis of large production, quality, and process datasets
• Creation of dashboards and data models for data-driven decision-making
• Development of machine learning models for quality improvement

• You support the development, automation, and optimization of our tools, including the use of AI agents to create innovative solutions.
• You act as the point of contact for all IT-related questions in the EME Reserving Centre of Excellence, ensuring technical challenges are efficiently resolved.

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

• ML-based Forecasting & Pricing: Lead the development of machine learning models for inventory forecasting and pricing strategies.
• Data Management: Drive data integration, quality, quantification, and enrichment of inventory data.

STRUCTURED DATA MANAGEMENT. You prepare, clean and validate data from various sources, ensuring consistency and reliability as a basis for reporting and analysis. You explore how AI tools such as Claude can speed up and standardize parts of this workflow, e.g. first-pass data structuring,...

• Experience in different data science topics
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Lead large digit solution projects for biotech and pharma customers from opportunity to delivery
• Understand customer workflows, challenges, and priorities, and turn them into compelling solution concepts

• Project-specific security design for data-driven and AI-powered systems including cloud environments on AWS, Azure, and GCP
• Risk assessment with threat modeling focusing on data security and vulnerabilities related to LLMs and AI models

• Develop native Swift/iOS applications
• Design user interfaces and functions as planned
• Participation in requirements gathering, project and technical planning
• Writing Unit and UI tests and participation in developer testing
• Continuous learning

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team for translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines