Data Scientist (AI Enablement, Machine Learning, Prompt Engineering)

Project overview

Data Scientist (AI Enablement, Machine Learning, Prompt Engineering)

For a project in Transport and Logistics, we are looking for a Data Scientist with experience in AI Enablement, Machine Learning, and Prompt Engineering.

Project Information

• Location: Frankfurt am Main / Hybrid
• Start: 02.11.2026
• Application Deadline: 20.10.2026
• Duration: 02.11.2026 – 31.12.2026 + Option
• Industry: Transport and Logistics

Responsibilities

Conducting AI enablement formats to identify and prioritize AI use cases, using Machine Learning, generative AI, and AI tools for data analysis, designing models, dashboards, data visualizations, prompt libraries, and documentation, as well as advising internal business units.

Must-Have Requirements

Should-Have Requirements

Technologies & Methods

AI Enablement, Machine Learning, Prompt Engineering, generative AI, AI tools, M365 Copilot, Kiro, Copilot Studio, Blended Learning, Community Formats, NPS, Maturity Assessment, KPI-based Impact Measurement, Scrum, Kanban, SAFe

The mund consulting team looks forward to your application with CV & hourly rate and will gladly support you in the further process.

Best regards

The Recruiting Team

*@*.de

• 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 a work context
• Proven experience in the application and teaching of prompt engineering methods for generative AI tools in a corporate context for over 3 years
• 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, 3 project references)
• Experience in needs/requirements analysis, prioritization, and translation of business and technical needs into suitable AI enablement measures
• Proven 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.
• 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
• Experience in feedback and evaluation methods (NPS, maturity assessment, KPI-based impact measurement)
• Good knowledge of agile methods (e.g., Scrum, Kanban, SAFe) and proven experience in collaborating in cross-functional teams of developers, IT specialists, and business stakeholders.

Project details

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