AI-Driven Process Innovation Intern

Council of Europe Development Bank

Paris

On-site

EUR 18,000 - 22,000

Full time

4 days ago

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Benefits offered by this job

Internship allowance 1800 € per month

Job summary

The Council of Europe Development Bank (CEB) invites a motivated intern to support its digital transformation in the Loans & Social Development Directorate (L&D). You will analyse and model core business processes, design AI-enabled workflows, and help deploy Copilot-based solutions across the project lifecycle.

Collaboration with stakeholders will be essential to deliver structured knowledge repositories and guidance.

Qualifications

Graduated within the past 24 months or currently enrolled in the final academic year at an institute of higher education (ideally at a Master’s level or equivalent).
Studies in business administration, information systems, business analytics, digital transformation, data science, artificial intelligence, computer science, engineering, public administration, economics or a related field.
Academic coursework or research related to process improvement, business process management, digital innovation, knowledge management or artificial intelligence would be considered an advantage.

Responsibilities

Analyze and document key L&D business processes across the project lifecycle, including project origination, appraisal, approval, implementation, monitoring, reporting and project completion.
Develop process maps, workflow diagrams and user journeys describing the main L&D activities, stakeholders, information flows, decision points, deliverables and controls.
Identify opportunities to leverage AI solutions throughout L&D processes, including document review, knowledge management, project appraisal support, drafting of reports and memoranda, portfolio monitoring, due diligence activities and information retrieval.
Support the design, testing and implementation of AI-enabled workflows and proof-of-concepts using Microsoft Copilot and other approved AI solutions, with the objective of improving efficiency, consistency, quality and knowledge sharing across the Directorate.
Create and maintain structured repositories of prompts, use cases, templates, process guidance and lessons learned to facilitate the adoption of AI tools by L&D staff.
Assist business teams in translating operational requirements into functional specifications for AI-assisted solutions and automation initiatives.
Contribute to the development of process performance indicators and assess potential productivity gains, risks and controls associated with the use of AI tools in operational processes.
Prepare presentations, training materials, user guidance and demonstrations to support the adoption of AI solutions and promote innovation within the Directorate.