Automation Analytics and AI Internship - Tesla Energy Operations (EMEA)

Beschreibung:

What To Expect
Start date: September 2026

Location: Amsterdam

Duration: 6 months

Time type: Full-time

Please note that you have to be enrolled in education throughout the whole internship period to be considered.

The Automation, Analytics and AI (AAA) team treats the organization as a factory. Mapping every workflow as if it were a production line, measuring cycle time, lead time, and throughput, and systematically removing bottlenecks using a 5-step methodology: question requirements, delete, simplify, accelerate, then automate.

We are in the middle of a fundamental transformation: moving EMEA Energy Operations from scattered documentation with no sequentiality into a fully mapped system with clear dependencies, measurements, and AI-augmented execution. One year from now, every team member will manage AI agents the way a factory supervisor manages machinery. 

As an AAA Intern, you will be embedded in this transformation from day one. This is not a support role. You will:

* Actively map the organization in new ways. Extracting process intelligence from documentation, building BPMN process models, writing automation scripts, developing internal tools, and helping teams adopt AI as a daily force multiplier
* You will work across the full AAA pipeline: from new request intake and 5-step analysis, through solution design and development, to shipping, maintenance, and technical debt retirement

What You'll Do

* Map business processes end-to-end using BPMN notation (through AI), making the invisible visible - documenting workflows, dependencies, cycle times, and identifying where the 5-step process should be applied first
* Support the "Confluence-to-BPMN bootstrap": use AI to extract process information from scattered existing documentation, flag outdated or contradictory steps, and build structured process models from unstructured knowledge
* Write and maintain Python and SQL scripts to automate repetitive tasks, with clean code, version control discipline,  and proper documentation
* Work with APIs and data pipelines - connecting systems, structuring data flows, and understanding how information moves across the organization
* Support the AI democratization program: help run AI onboarding sessions, prepare training materials, assist  users with Claude/MCP/skills setup, and contribute to the AI Coach RAG
* Contribute to retiring technical debt in existing automation solutions

What You'll Bring

* Must be currently enrolled in AI, Data Science, Engineering, Computer Science, Statistics, Economics, or a related field
* AI-native workflow: you use AI tools (LLMs, Claude, coding assistants, prompt engineering) across 90%+ of your daily work. Writing code, analyzing data, drafting docs, debugging, and research, you understand the Claude ecosystem: MCPs, skills, knowledge bases, PRD files, Karpathy wiki framework, and how to build structured AI-powered workflows. AI is how you work
* API literacy: you understand RESTful APIs, can read API documentation, and can wire systems together programmatically
* Web application development: experience building or contributing to web apps using modern frameworks
* Familiarity with Git and version control for collaborative development
* Fixer mentality: when you identify a problem, you arrive with a proposed solution, not just a flag. You have agency, you move with urgency, and you don't wait to be told what to do
* Fast learner: you can ramp up on unfamiliar tools, domains, and frameworks quickly. If you don't know something today, you figure it out by tomorrow

, Tesla