SCRUM JIRA Microsoft 365 Monitoring SAFe Documentation M365 Copilot Kiro Prompt Engineering Agile Coaching Artificial Intelligence Business Analysis Change Management Reporting Dashboards Kanban OpenAI GitLab Data Analysis Agile Stakeholder Management GitHub Data Science LLM Microsoft SharePoint Generative AI Copilot Studio Machine Learning Confluence

Data Scientist (AI Enablement, Machine Learning, Prompt Engineering) (m/f/d)

For a project in transport and logistics, we are looking for a Data Scientist (m/f/d) with experience in AI Enablement, Machine Learning and Prompt Engineering.

Project information

Location: Frankfurt am Main / Hybrid
Start: November 2, 2026
Application deadline: October 20, 2026
Duration: 02.11.2026 – 31.12.2026 + option
Industry: Transport and Logistics

Tasks

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, and advising internal departments.

Mandatory requirements

Experience in the conception and implementation of AI enablement programs in a corporate environment (>10,000 employees, 3 years) for the application of generative/agentic AI tools (M365 Copi, Kiro) in a work context
Proven experience in the application and teaching of prompt engineering methods for generative AI tools in a business context for over 3 years.
Extensive 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 professional and technical needs into suitable AI enablement measures
Proven experience and in-depth technical understanding (functioning, application scenarios, limitations, best practices) of current AI tools in a business context, especially M365 Copilot, Copilot Studio and comparable AI assistants.

Target requirements

Strong communication skills and the ability to convey complex content in an understandable and motivating way to various stakeholder groups, from technical experts to C-level decision-makers.
Experience in feedback and evaluation methods (NPS, maturity level measurement, KPI-based impact measurement)
Good knowledge of agile methods (e.g. Scrum, Kanban, SAFe) and proven experience in working together in cross-functional teams of developers, IT specialists and business stakeholders.

Technologies & Methods

AI enablement, machine learning, prompt engineering, generative AI, AI tools, M365 Copilot, Kiro, Copilot Studio, blended learning, community formats, NPS, maturity level measurement, KPI-based impact measurement, Scrum, Kanban, SAFe

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

Kind regards,
The Recruiting Team
post@mund-consulting.de

Edited 13.10.26

Data Scientist (AI Enablement, Machine Learning, Prompt Engineering) (m/f/d) ID03386

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