> Markdown version of [/jobs/ext/4574479-senior-data-scientist-leipzig-permanent-onsite](https://www.wearedevelopers.com/jobs/ext/4574479-senior-data-scientist-leipzig-permanent-onsite). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - Leipzig - Permanent - Onsite - **Company:** Oliver James Associates - **Location:** Leipzig, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Software Applications, Big Data, C Sharp (Programming Language), C++ (Programming Language), Data Visualization, Python (Programming Language), Machine Learning, Raw Data, SQL Databases, Large Language Models, Generative AI, Agentic-AI, Information Technology, Machine Learning Operations, Data Pipelines, Unsupervised Learning - **Published:** November 5, 2026 - **Apply:** https://www.adzuna.de/details/5952306466 ## About the Role * Degree in Data Science, Computer Science, Mathematics, Engineering or a related field. * Strong foundation in statistics and machine learning. * Solid Python skills; SQL, C++ or C# are advantageous. * Experience with supervised and unsupervised learning. * Experience with LLMs, generative AI or agentic systems. * Knowledge of data visualisation, pipelines and model deployment. * Strong analytical thinking and structured problem-solving skills. * Fluent English; German is an advantage. ## Description You will work with complex datasets, developing machine learning models and AI-powered solutions to turn raw data into meaningful insights and support data-driven decision-making. Responsibilities * Build and maintain real-time and batch data pipelines. * Clean, structure and analyse complex datasets. * Develop, evaluate and improve machine learning models. * Develop AI-powered applications, including generative AI, LLM-based solutions and agentic systems. * Build analytics solutions and visualisations to deliver actionable insights. * Ensure data quality through testing and validation. * Deploy, monitor and maintain ML models in production. * Collaborate with engineering teams and communicate findings to stakeholders.