Finance AI Engineer Internship — Flexible, Growth‑Driven

SIX Group Services Ltd.; Las Rozas de Madrid; Hybrid; EUR 12,000 - 17,000; Part time

Job summary

SIX Group Services Ltd. invites motivated students to join SIX Financial Information in Madrid for a six-month AI & Data Science internship.

You will work on AI-powered data platforms, document data extraction, and chat-based assistants that let clients explore financial data. As part of the AI & Data Science Team, you will prototype new ideas with Model Context Protocol servers, test LLM-powered workflows, and help design evaluation datasets while collaborating with peers.

Qualifications

• Pursuing a bachelor’s or master’s degree in Data Science, CS, or related field.
• Strong Python programming, SQL familiarity, and ML fundamentals.
• Experience with LLM APIs, LangChain/LangGraph or RAG is a plus; cloud exposure (Azure) is a plus.
• Fluency in English; strong analytical skills and teamwork.

Responsibilities

• Contribute to AI products in production, including document data extraction and conversational assistants.
• Prototype ideas in MCP servers, agent-to-agent communication, and AI agents that navigate UIs.
• Help design evaluation datasets and metrics for LLm-based solutions.
• Assist in automating internal processes with AI coding agents and CI/CD pipelines.
• Share findings with the team and present results to stakeholders.

Skills

Python

SQL

Machine learning fundamentals

Generative AI

LLMs

English fluency

Azure

Databricks/Spark

Git

Education

Bachelor’s or Master’s degree in Data Science or Computer Science

Tools

LangChain

LangGraph

RAG

Azure

Databricks

Spark

Git

Job description

SIX Group Services Ltd. invites motivated students to join SIX Financial Information in Madrid for a six-month AI & Data Science internship.

You will work on AI-powered data platforms, document data extraction, and chat-based assistants that let clients explore financial data. As part of the AI & Data Science Team, you will prototype new ideas with Model Context Protocol servers, test LLM-powered workflows, and help design evaluation datasets while collaborating with peers.