Python állások Németországban (it tanácsadó, elemző, auditor)

• Act as the primary analytical partner for stakeholders in Chartering, Finance, Fleet, or Operations, translating business needs into clearly scoped data solutions.
• Own the roadmap and prioritization of your portfolio of data products in alignment with business priorities.

Build and refine the forecasting models that directly shape our trading strategies and maximize the value of renewable energy in the market....

• Identification of the promising state-of-the-art model approaches
• Definition (or refinement) of test cases and driver interaction scenarios
• Benchmarking of available model types under defined boundary conditions (based on requirements from previous investigations)

• Make optimization runs fast enough that customers iterate in minutes, not hours — across problems an order of magnitude larger than today
• Build the data backbone: ingest SAP/ERP exports, Excel reality, and operator knowledge into a clean, versioned, traceable model layer

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• Help us set the right goals: Develop clear and measurable targets based on an initiatives' scope. Improve our overall forecasting and goal setting capabilities.
• Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions.

Design and maintain scalable dashboards that empower the Commercial Solutions team to make faster, data-driven decisions around pricing and commercial product performance...

Design and operate scalable workflows for the ingestion, integration, deduplication and harmonisation of heterogeneous environmental observation and research data, including traceable provenance, metadata enrichment and semantic annotation...

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

• Collect, process, and analyze large and complex data sets.
• Support the development and implementation of data analytics solutions.
• Prepare presentations, reports, and visualizations to effectively communicate data findings to stakeholders.

Design, build, and continuously optimize ETL/ELT workflows that power our data landscape — from ingestion to delivery — with reliability and scale in mind....

Permanent Contract, Full- or Part-Time, Remote or Cologne / Darmstadt / Düsseldorf / Berlin INFO WHO WE ARE We are the tech powerhouse behind Kaufland's international online marketplaces and a company within the Schwarz Group. Driven by a start-up mentality and working on an equal footing within...

• Shape the future AI & GenAI tech stack at ZEISS by mapping state-of-the-art technology to ZEISS business needs – ensuring scalability, maintainability and cost-effectiveness
• Consult teams in Zeiss Digital Partners and beyond regarding AI & GenAI technologies and implementation

• Identifying and understanding relevant problems, goals and decision needs of a business unit
• Identifying and collecting suitable data and information to solve various problems or issues
• Performing data visualizations and analytics to support data-driven business decisions

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

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...

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

• You support data analytics activities using KNIME, Excel and other analytical tools.
• You analyse large datasets, identify patterns, anomalies and potential risks, and help translate data into meaningful audit insights.

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....