10.10.2026 aktualisiert
100 % verfügbar
Data Scientist | Quantitative Analyst | Energy Markets
Elmshorn, Deutschland
Weltweit
B.Sc. International Business Information Systems; Msc. MathematicsÜber mich
Data Scientist for energy markets: long-term power price forecasting at Vattenfall, AI news scraping that cut analyst workload 70–80%, and production-ready anomaly detection at SICK AG. Stack: Python, SQL, Azure, Databricks, MLflow, Docker, Airflow, Power BI. M.Sc. Mathematics.
Skills
Data AnalysisBusiness IntelligenceDatenbankanalyseEnergiemarktDatenflussanalyseData IntelligencePythonMachine LearningTensorFlowData ScienceApache SparkSQL Server Business IntelligencepandasDatenanalytikAmplitude Analytics
Data Science and Machine Learning
Expertise in time-series and price forecasting, demand and revenue forecasting, transformer-based anomaly detection, and sensor drift detection. Proficiency with TensorFlow, Pandas, NumPy, Jupyter, and Plotly for building production-ready machine learning pipelines.
Python Programming and Data Engineering
Strong command of Python for data engineering, automation, and reporting. Development of production-ready pipelines, automated reporting workflows, and data processing scripts using SQL, Azure, Databricks, and Apache Spark.
LLM and NLP
Application of local LLM inference with Ollama (Qwen2.5), LLM-based named entity recognition, web scraping, and AI-based summarization for automated data extraction and analyst workflow optimization.
MLOps and Cloud
Hands-on experience with Azure, Databricks, Apache Spark, MLflow, Docker, Airflow, CI/CD, and Git for managing machine learning experiments and deploying scalable data solutions.
BI and Reporting
Creation of Power BI dashboards for stakeholder communication, Python-based reporting automation, and advanced MS Office usage for data-driven storytelling.
Databases
Practical knowledge of SQL, MySQL, SQLite, and MongoDB for data storage, querying, and pipeline integration.
Web Development
Development of web applications using JavaScript, TypeScript, React, and Node.js, including full-stack e-commerce applications.
Domain Knowledge: Energy Markets
Deep understanding of the German power market, intraday prices, renewable and battery assets, hybrid energy parks, and regulatory and market monitoring.
Testing
Writing unit tests in Python and integration tests in TypeScript to ensure code quality and reliability of data and detection pipelines.
Ways of Working
Experience with Agile and Scrum methodologies, Azure DevOps for sprint planning, and Trello for project management.
Business Systems
Knowledge of SAP S/4HANA covering all core modules, acquired through university ERP coursework.
Expertise in time-series and price forecasting, demand and revenue forecasting, transformer-based anomaly detection, and sensor drift detection. Proficiency with TensorFlow, Pandas, NumPy, Jupyter, and Plotly for building production-ready machine learning pipelines.
Python Programming and Data Engineering
Strong command of Python for data engineering, automation, and reporting. Development of production-ready pipelines, automated reporting workflows, and data processing scripts using SQL, Azure, Databricks, and Apache Spark.
LLM and NLP
Application of local LLM inference with Ollama (Qwen2.5), LLM-based named entity recognition, web scraping, and AI-based summarization for automated data extraction and analyst workflow optimization.
MLOps and Cloud
Hands-on experience with Azure, Databricks, Apache Spark, MLflow, Docker, Airflow, CI/CD, and Git for managing machine learning experiments and deploying scalable data solutions.
BI and Reporting
Creation of Power BI dashboards for stakeholder communication, Python-based reporting automation, and advanced MS Office usage for data-driven storytelling.
Databases
Practical knowledge of SQL, MySQL, SQLite, and MongoDB for data storage, querying, and pipeline integration.
Web Development
Development of web applications using JavaScript, TypeScript, React, and Node.js, including full-stack e-commerce applications.
Domain Knowledge: Energy Markets
Deep understanding of the German power market, intraday prices, renewable and battery assets, hybrid energy parks, and regulatory and market monitoring.
Testing
Writing unit tests in Python and integration tests in TypeScript to ensure code quality and reliability of data and detection pipelines.
Ways of Working
Experience with Agile and Scrum methodologies, Azure DevOps for sprint planning, and Trello for project management.
Business Systems
Knowledge of SAP S/4HANA covering all core modules, acquired through university ERP coursework.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2026
Sprachen
DeutschgutEnglischverhandlungssicherHindiMuttersprache
Projekthistorie
Supporting BA-Wind and BA-Markets (Fundamental Analysis) teams. Projects include long-term intraday power price forecasting for the German market (2026-2060) using Python, SQL, Azure, Databricks, MLflow, and Power BI; AI web scraping and summarization of regulatory and market news reducing analyst workload by 70-80%; reporting and process automation contributing to roughly 12% annual operational revenue improvement for renewable and battery assets; and a bachelor thesis on ML revenue forecasting and underperformance detection for hybrid energy parks (graded 1.3).
Automated pipeline: RSS collector (DataCenterDynamics) to article fetcher to local LLM named entity recognition to structured CSV to Power BI dashboard. Runs CPU-only with Qwen2.5 3B via Ollama; SQLite for duplicate prevention and a processing log. About 70% extraction enrichment across two experiments. Technologies: Python, Ollama, Qwen2.5, SQLite, Power BI.
Forecasting demand for European energy parks. Technologies: Python, Pandas, NumPy, Plotly.