Data Scientist Intern: AI-Driven Ad Analytics & Growth

Titan Operating System

Barcelona

On-site

EUR 6,700 - 10,000

Part time

6 days ago
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Job summary

Titan Operating System, a Barcelona-based technology company, is seeking a Data Scientist Intern to perform deep analyses on our ad-serving integrations and to drive measurable revenue growth across partner networks.

You will use Python (Pandas, NumPy), SQL, and modern AI tools (Claude, ChatGPT, Copilot) to explore data, prototype solutions, and present insights to cross-functional teams for data-driven decisions.

Qualifications

  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field with hands-on coursework or project experience.

Responsibilities

  • Explore and analyze datasets surrounding Titan OS’s Supply and Demand partner integrations to identify performance bottlenecks, trends, and optimization opportunities.
  • Use AI tools (Claude, ChatGPT, Cursor) alongside Python and SQL to accelerate data exploration, code generation, and solution prototyping.
  • Translate complex integration data into clear insights that contribute to maximizing ad performance and revenue growth.
  • Collaborate with senior data scientists and cross-functional teams, sharing findings and presenting insights to guide decisions.
  • Continuously test new analytical methodologies and AI-assisted workflows to improve data processing, visualization, and interpretation of ad-serving data.

Skills

Python
SQL
Generative AI

Education

Data Science related degree

Tools

Pandas
NumPy

Job description

Titan Operating System, a Barcelona-based technology company, is seeking a Data Scientist Intern to perform deep analyses on our ad-serving integrations and to drive measurable revenue growth across partner networks.

You will use Python (Pandas, NumPy), SQL, and modern AI tools (Claude, ChatGPT, Copilot) to explore data, prototype solutions, and present insights to cross-functional teams for data-driven decisions.

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