Data scientist állások, munkák Budapesten

• Development of a robust framework for generating and distributing work across all operations
• Creation of tools and frameworks for teams to design specific workflows
• Establishment of a comprehensive reference for a 360-degree view of customer data

• Coordination of strategic and operational initiatives across the PMO portfolio
• Management of lifecycle updates for PMO governance processes, standards, templates, and documentation
• Support of project intake, tracking, reporting, and execution activities

Performing tasks related to the position....

• Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads
• Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Végrehajtja az Informatikai és Téradat Főosztály feladatköréhez kapcsolódó feladatokat. Ennek keretében:
• A meglévő informatikai rendszerek, működési folyamatok és rendszerkapcsolatok megismerése.
• Üzleti, szakmai és felhasználói igények feltárása interjúk, workshopok és egyeztetések keretében.

• kis- és középvállalati ügyfél eredményes akvizíciója, akvizíciós folyamat hatékony szervezése, új ügyfelek felkutatása, tárgyalás és javaslattétel a banki termékek és azok kondícióit illetően
• meglévő kis- és középvállalati ügyfelekkel való proaktív kapcsolattartás

• Act as the link between business stakeholders and technical teams translating business requirements into clear ServiceNow solutions
• Support clients in process analysis optimization and documentation in alignment with ServiceNow best practices

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Design of high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Collaboration with senior product managers to ensure achievement of product objectives
• Support of key projects within the product management team
• Collaboration with research, engineers and program management teams

• Research, configure, and test AI tools including Claude, Gemini, Zapier, and n8n to improve the GTM stack
• Build proof-of-concepts for AI-driven lead research, automated email drafting, meeting summarization, and information hand-offs

• 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

• Automation and database management including creation of technical specification documents and management of automations using Alteryx, Python, and SSIS
• Creation of reports and dashboards in Power BI
• Building data models and creating measures in DAX

• 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

• Experience in different Data Science topics
• Independent delivery of Data Science projects
• Product-oriented mindset in project delivery
• Direct engagement with clients to understand business objectives
• Translation of business objectives into technical requirements
• Leading pre-sales technical discussions

• Commitment to service level agreement for undisturbed business activities
• Ensuring technological architecture meets user requirements
• Supporting data maintenance related queries including data quality, lifecycle management and monitoring

• Maintenance and quality-check of global mobility policy and benefit data across systems, platforms, and trackers
• Production of regular and ad-hoc reports highlighting trends and translating findings into actionable insights
• Maintenance and update of assignment documentation templates

• Üzleti folyamatok elemzése, optimalizálása, automatizálási javaslatok készítése
• Üzleti igények felmérése, specifikálása a fejlesztők részére
• Ellenőrző, támogató riportok fejlesztésében való részvétel, a folyamatok hatékonyságának javítása
• Részletes elemzések, kimutatások, riportok készítése

• Processing vendor master data requests in a timely and accurate process manner
• Managing relationships with internal business partners to ensure data requests are complete and comply with standards

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain