IT Intern - AI & Transformation

Overview

The IT Intern for AI and Transformation role provides hands-on experience in AI-enabled tools, process and workflow automation, Python scripting, data analysis, and system optimization. The position takes place within a responsible-AI framework and a GxP-regulated environment at Wepclinical, a global specialist Contract Research Organization. The intern supports the information technology function by partnering with cross-functional departments to identify opportunities where artificial intelligence and automation can streamline work, improve data-driven decision-making, and enable digital transformation.

Who can apply

Applicants must be currently pursuing a degree in Information Technology, Computer Science, Data Science, Artificial Intelligence, Analytics, Engineering, or a related field. Ideal candidates are curious, eager to learn, able to take initiative, and professional. Applicants need strong analytical, problem-solving, and communication skills, alongside an awareness of responsible and ethical artificial intelligence use, data privacy, security, and the limitations of AI outputs.

Requirements

Technical requirements include experience with Python for scripting, automation, and data analysis, as well as working knowledge of SQL and relational databases. Candidates should understand data fundamentals such as data cleaning, transformation, and reporting, and have familiarity with Tableau, Power BI, or other data visualization tools. Additional requirements include familiarity with generative AI tools, prompt engineering, AI assistants like Microsoft Copilot, and workflow automation or low-code platforms such as Power Automate and Power Apps.

What you do

The intern collaborates with stakeholders to understand workflows and identify high-value opportunities for automation, while gathering and documenting technical requirements and use cases. Responsibilities include designing and maintaining workflow automations using Python and low-code platforms, prototyping and testing AI-enabled tools, and developing prompts and AI-assisted workflows. The role also involves developing SQL queries and data pipelines, supporting data analysis and visualization initiatives, assisting with system integrations and API-based connections, tracking the benefits of transformation initiatives, and preparing process documentation and user guidance.