Data Scientist

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

(mandatory)

• Experience in the conception and execution of AI enablement programs in a corporate environment (>10,000 employees, 3 years) for the application of generative/agentic AI tools (M365 Copilot, Kiro) in the work context; in 3 projects
• Proven experience in the application and teaching of prompt engineering methods for generative AI tools in a corporate context for over 3 years; in 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 (>10,000 employees, in 3 projects) (> 5 years of experience)
• Experience in needs/requirements analysis, prioritization, and translation of business and technical needs into suitable AI enablement measures; in 3 projects
• Proven experience and in-depth technical understanding (functionality, use cases, limitations, best practices) of current AI tools in the corporate context, especially M365 Copilot, Copilot Studio, and comparable AI assistants; in 3 projects

Nice to have

• 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); in 3 projects
• Good knowledge of agile methods (e.g., Scrum, Kanban, SAFe) and proven experience in collaboration in cross-functional teams of developers, IT specialists, and business stakeholders; (> 5 years of experience)

Project details

• Start: 2026-11
• Duration: 2 Monate
• Remote: hybrid
• Location: Frankfurt, Deutschland, DE
• Languages: German