Data science állások, munkák it programozás, fejlesztés területen

• Building and maintaining SQL queries and reports that track bookings, pipeline coverage, and conversion
• Monitoring CRM data quality to resolve issues at the source
• Analyzing pipeline trends and supporting the weekly forecasting review cadence with clean, accurate data

• Business consulting and stakeholder management
• Solution design and AI orchestration
• Functional specifications and directives documentation
• Test execution and quality assurance
• Issue solving and automated triage
• Risk mitigation and human context consideration

• Understanding business requirements
• Preparation and reconciliation of IT specifications including system design and logical design
• Cooperation with developer and testing team including participation in bug analysis, IT and business testing, and change management

As a Working Student in Sales Data Architecture & Agentic AI (m/f/d/x), you will support the team in analyzing and harmonizing global sales and master data across different markets and systems....

• Experience in different data science topics including machine learning, LLM, deep learning
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements

Identify, evaluate, and execute timely market opportunities and equity index options trading strategies to generate profits. This will involve equity index options and ETF options research and analysis for trade idea generation, testing, and implementation....

• Support strategic and operational initiatives across Central IT at Riverty
• Contribute to cross-functional technology projects involving multiple Business Units and central functions
• Support the development of enterprise-wide standards, governance models, and technology frameworks

• Your responsibility: From day one, you'll own your stories and take end-to-end responsibility for your tasks.
• Your team: You'll work in a small team of no more than five full-stack engineers. Like this, our teams are more efficient and can move fast.

Lead business development activities in field of AI and Data for Financial Services sector, including preparing client proposals and driving strategic initiatives....

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Design, build and maintain production software for our inspection drones and rovers
• Develop AI-powered features such as data analytics, LLM-based assistants and chatbots
• Own features end to end, from concept to customer release
• Take part in architecture and design decisions

Own and continuously refine the product vision, roadmap, and backlog for the AI-driven reservoir simulator, aligned with business goals and market demands....

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design future‑oriented process solutions by integrating available AI platforms, technologies, agents, data, and knowledge sources....

• Definition and driving of cloud products and platforms evolution
• Collaboration with engineering teams and stakeholders across Deutsche Telekom
• Definition of product vision, strategy, and roadmap for cloud products and platforms
• Understanding of customer needs, market trends, and business priorities

• Training and fine-tuning models against curated datasets
• Building and maintaining evaluation suites
• Analyzing model failures and translating findings into dataset or training improvements
• Packaging models with documentation, benchmarks, and reproducible evaluation results

Take full ownership of the day-to-day management, administration, monitoring, and continuous optimization of the system landscape, including server administration and issue resolution....

Take full ownership of the day-to-day management, administration, monitoring, and continuous optimization of the system landscape, including server administration and issue resolution....

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

Build and maintain a transparent IT Service Portfolio that provides a reliable view of services, applications, ownership, and lifecycle status and enables informed portfolio decisions...

In close collaboration with Process Owners you analyze existing processes, identify AI and agent based use cases, and design future oriented process solutions by integrating available AI platforms, technologies, agents, data, and knowledge sources....