Required skills
- AI Enablement
- Generative AI
- Prompt Engineering
- Machine Learning
- Data Analysis
- Data Visualization
- M365 Copilot
- Agile Methods
- Change Management
- Stakeholder Management
Languages: German
Job description
Seeking a Data Scientist to conduct AI enablement formats, identify AI use cases, and develop AI models. The role involves analyzing data, creating visualizations, and advising on AI tools and prompting strategies.
Responsibilities
- Conducting project-related, exploratory AI enablement formats to identify optimization and automation potential
- Deriving potential business opportunities through targeted identification of AI use cases and potentials
- Using suitable statistical and machine learning methods as well as AI tools (Coding Assistants / AI assistance tools) for data analysis
- Conception and prototypical development of (AI) models for data analysis and prediction
- Conception and creation of data visualizations and reports
- Conception and prototypical design of dashboards and interactive analysis interfaces for business departments
- Conception of guidelines, documentation, and best practice repositories for the use of AI tools
- Technical conception of prompting approaches and prompt libraries
- Consulting on the selection of suitable modeling methods, algorithms, and metrics, as well as AI tools and coding assistants
- Technical consulting for internal IT/business experts on the use of (generative and agentic) AI
- Documentation of analysis processes, method decisions, and model results, and enablement measures
Requirements
Framework parameters:
Your GECO contact person looks forward to hearing from you and receiving your meaningful project history as well as your fee/salary/price expectation.
- Experience in the conception and execution of AI enablement programs in a corporate environment for the application of generative/agentic AI tools (M365 Copilot, Kiro) in the work context (Proof: 3 projects)
- Demonstrable experience in the application and teaching of prompt engineering methods for generative AI tools in a corporate context for over 3 years (Proof: 3 projects)
- Strong knowledge/experience regarding the variety of methods for knowledge transfer (blended learning, community formats) and support of change processes in the IT environment within large corporations (5 years of experience), 3 projects
- Experience in needs/requirements analysis, prioritization, and translation of business and technical needs into suitable AI enablement measures (Proof: 3 projects)
- Demonstrable experience and in-depth technical understanding (functionality, use cases, limitations, best practices) of current AI tools in a corporate context, especially M365 Copilot, Copilot Studio, and comparable AI assistants. (Proof: 3 projects)
- Strong communication skills and the ability to convey complex content understandably and motivatingly to various stakeholder groups from technical experts to C-level decision-makers (5 years of experience)
- Experience in feedback and evaluation methods (NPS, maturity assessment, KPI-based impact measurement) (Proof: 3 projects)
- Good knowledge of agile methods (e.g., Scrum, Kanban, SAFe) and demonstrable experience in collaboration in cross-functional teams of developers, IT specialists, and business stakeholders. (5 years of experience)
- Location: Remote and by arrangement in Frankfurt am Main
- Duration: 02.11.2026
- 31.12.2026 + option for extension
- Utilization: Full utilization
Project details
- Start: flexible
- Remote: remote
- Location: Frankfurt am Main, Deutschland, DE
- Languages: German
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