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# Data Scientist

- **Company:** Seedtag Adventure
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Internship / Graduate position
- **Skills:** LangGraph Framework, Artificial Intelligence, Airflow, Data Analysis, Unit Testing, BigQuery, Code Review, Content Analysis, Information Engineering, Data Presentation, Programming Tools, Python (Programming Language), Machine Learning, NumPy, OpenAI, Standard Sql, Software Engineering, SQL Databases, Cloud Platform System, Large Language Models, Model Validation, Agentic-AI, Git, Pandas, Scikit Learn, Information Technology, Data Analytics, PydanticAI Framework, Claude, Data Pipelines
- **Published:** November 6, 2026
- **Apply:** https://www.adzuna.es/details/5954163730

## About the Role

* 0-2 years of experience in Data Science, Analytics, or Machine Learning, including internships, research, or personal projects.
 * Degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.
 * Strong Python and SQL skills, with a solid understanding of statistics, machine learning, and model evaluation.
 * Hands-on experience building LLM-based agents or agentic workflows, including tool calling, structured outputs, or multi-step processes.
 * Good software engineering practices, including Git, testing, and clean, reproducible code.
 * Strong analytical thinking and data storytelling skills, with the ability to communicate insights to non-technical stakeholders.
 * Curious, proactive, and eager to learn, with professional working proficiency in English.

## Description

As our Data Scientist, you will join our Insights team to transform contextual, audience, and campaign data into actionable insights for clients and commercial teams, leveraging Liz, Seedtag's AI. Your main responsibilities will include:

 * Data Pipelines & Analytics: Build and maintain pipelines to analyse campaign performance, audience behaviour, and contextual data across the open web and CTV.
 * Analytical Models: Develop models for audience profiling, content analysis, campaign comparisons, and pre-campaign planning.
 * Data Products: Turn analyses into scalable data products using tools such as dbt, Trino, and Airflow, ensuring data quality and reliability.
 * AI Agents & Automation: Prototype LLM-based agents and workflows using techniques such as embeddings, classification, clustering, and summarisation.
 * Experimentation & Evaluation: Design and evaluate experiments to ensure automated insights are accurate, reliable, and actionable.
 * Data Quality & Troubleshooting: Investigate data anomalies, identify root causes, and improve pipeline reliability.
 * Data Storytelling: Communicate findings through clear visualisations and actionable recommendations for Product, Sales, and clients.

Our Core Values
Outcome over Output We measure success by impact and value, not by volume of features or lines of code. Failure Is Allowed, Learning Is a Must Experimentation is key to innovation. We test early, iterate often, and learn fast. We Are All Scouts We take ownership and leave things better than we found them. We Are Data-Driven Data informs our decisions and helps us continuously improve our systems and results.

Tech Stack
You'll work with modern data and AI technologies to build scalable insights products. Our stack includes:

 * Languages & Libraries: Python, SQL, pandas, NumPy, scikit-learn.
 * Data Engineering: dbt, Trino, Airflow.
 * AI & Machine Learning: LLMs, AI agents, embeddings, classification, clustering, NLP.
 * Agent Frameworks: LangGraph, PydanticAI, MCP, OpenAI and Claude Agent SDKs.
 * Cloud & Data Platforms: GCP, BigQuery.
 * Development Tools: Git, unit testing, code review.