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# Job Description Tech-Remote

- **Company:** Seedtag
- **Location:** Ouderkerk aan de Amstel, Netherlands (Remote available)
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** LangGraph Framework, Artificial Intelligence, Airflow, Data Analysis, Unit Testing, BigQuery, Code Review, Content Analysis, Data Presentation, Programming Tools, Python (Programming Language), Machine Learning, OpenAI, Standard Sql, Software Engineering, Cloud Platform System, Large Language Models, Model Validation, Agentic-AI, Git, Information Technology, PydanticAI Framework, Claude, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=575b5ab75912ae2c

## 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 Junior 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., * Agent Frameworks: LangGraph, PydanticAI, MCP, OpenAI and Claude Agent SDKs.
 * Cloud & Data Platforms: GCP, BigQuery.
 * Development Tools: Git, unit testing, code review.