Data Intern

• 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.
• Practical experience in Python (Pandas, NumPy) and SQL for querying, cleaning, and analyzing large datasets.
• Active experience using modern generative AI and LLM tools (e.g., Claude, ChatGPT, GitHub Copilot) to enhance your workflow, debug code, and analyze data more efficiently.
• A problem-solving mindset with a keen interest in dissecting real-world, high-volume data to find underlying patterns.
• A drive or eagerness to learn about digital advertising ecosystems, ad-serving architectures, and programmatic supply/demand dynamics.
• Great communication skills, a proactive attitude, and the desire to make a visible, tangible impact from day one.

• Compensation in line with the internship programme
• Opportunity to be part of a dynamic and collaborative international environment
• Hands-on experience and exposure to real business projects
• Opportunity to learn and develop your skills alongside an experienced team
• Change the future of TV! A unique opportunity to join a well-funded, high-growth company in the early stages to help shape a product/business that will impact millions.

We are looking for a Data Scientist Intern to perform deep, complex analysis on our Ad-serving integrations.

The focus of the role is to use your skill set to analyze the performance of Titan OS's integrations with its Supply and Demand partners. Your time will be spent deeply embedded in data science-analyzing datasets, understanding data capabilities, and prototyping solutions. This will yield measurable results and growth in revenue.

Your ultimate mission is to ensure that our advertising partnerships and integrations are performing to their maximum potential.

• Explore and analyze datasets surrounding Titan OS's Supply and Demand partner integrations to identify performance bottlenecks, trends, and optimization opportunities.
• Use cutting-edge AI tools (like Claude, ChatGPT, or Cursor) alongside a classic data science stack (Python, SQL) to accelerate data exploration, code generation, and solution prototyping.
• Translate complex integration data into clear insights that directly contribute to maximizing ad performance and driving revenue growth.
• Work closely with senior data scientists and cross-functional teams, sharing detailed findings and presenting your insights to help guide team decisions.
• Continuously test new analytical methodologies and AI-assisted workflows to improve how we process, visualize, and interpret ad-serving data.