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IT Intern - AI & Transformation

Wepclinical Chiswick, London, UKEst. Est. GBP 24,000–30,000 / yearInternship

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Python
  • Sql
  • Azure
  • Machine Learning
  • Data Science
  • Tableau
  • Power Bi
Kickstart your career with WEP Clinical, a global specialist Contract Research Organization (CRO) dedicated to keeping the patient at the center of everything we do. We partner with Sponsors to deliver drug development, treatment access, and commercialization solutions, helping patients worldwide gain access to life-changing therapies. Role Objectives: The IT Intern – AI & Transformation will support the Information Technology function by partnering with cross-functional departments to identify opportunities where AI and automation can streamline work, improve data -driven decision-making, and enable digital transformation. This role provides hands-on experience in AI-enabled tools, process and workflow automation, Python scripting, data analysis, and system optimization, within a responsible-AI framework and a GxP -regulated environment . The Ideal Candidate: Curious and eager to learn Able to take initiative and contribute ideas Professional, reliable, and accountable Team player who collaborates well with others Adaptable and open to feedback What You'll Do: Collaborate with stakeholders across departments to understand workflows, pain points and manual processes, and identify high-value opportunities for AI and automation. Gather and document business and technical requirements, use cases and success measures for automation and AI-enabled solutions. Design, build and maintain workflow automations using Python and low-code/no-code platforms (e.g., Power Automate, Power Apps) to eliminate repetitive manual tasks. Evaluate, prototype, test and help implement AI-enabled tools (e.g., Microsoft Copilot, generative AI assistants and machine learning services), under appropriate supervision and in accordance with company policies. Develop prompts, agents and AI-assisted workflows that improve productivity, and document guidance and best practices for their use. Apply responsible-AI principles, including data privacy, security, accuracy validation and human oversight, and support compliance with company policy and GxP/regulatory expectations. Develop and optimize SQL queries and data pipelines to extract, transform and prepare data from multiple sources for analytics, automation and AI use cases. Support data analysis initiatives by identifying trends, insights and opportunities for process improvement and measurable efficiency gains, and present automation impact and insights to technical and non-technical audiences through dashboards and visualizations in Tableau or Power BI (or similar tools). Support system integrations, API-based connections and enhancements under the guidance of senior IT or data team members. Track and report benefits of automation and AI initiatives (e.g., time saved, error reduction, adoption), and contribute to the transformation roadmap. Prepare and maintain documentation, including process maps, technical notes, testing evidence and user guidance, and support change management and user training. Participate in project meetings, provide status updates and contribute ideas to continuous improvement and innovation initiatives. What You'll Need: Qualifications Currently pursuing a degree in Information Technology, Computer Science, Data Science, Artificial Intelligence, Analytics, Engineering or a related field. Strong analytical and problem-solving skills, with the ability to translate business needs into automation and AI-enabled solutions. Demonstrated interest and curiosity in AI, automation and emerging technologies, a willingness to keep learning, and awareness of responsible and ethical AI use, including data privacy, security and the limitations of AI outputs. Strong written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders. Highly organized and detail-oriented, with the ability to manage multiple tasks at once, work independently and contribute effectively

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