Senior Data Scientist

THRYVE; Frankfurt; Remote; EUR 80.000 - 100.000; Teilzeit

Zusammenfassung

A leading energy and tech consultancy is seeking a freelance data scientist to tackle optimisation and forecasting projects. The role involves building mathematical models and engineering data pipelines. Ideal candidates will have a strong energy sector background, expert Python skills, and a proven track record in consulting. This position allows for remote work within Germany, with a competitive hourly rate between €100 and €125.

Qualifikationen

• Strong background in the energy sector, trading, or data science.
• Proven freelance or consulting experience with energy or trading clients.
• Ability to challenge assumptions and translate technical insights into business value.

Aufgaben

• Build and improve mathematical optimisation models for trading strategies.
• Enhance forecasting frameworks for short- and mid-term horizons.
• Engineer robust data pipelines and APIs.
• Transition legacy code into modern Python solutions.
• Deliver clear, business-focused insights and documentation.

Kenntnisse

Energy sector experience

Expert-level Python skills

Proven freelance experience

Familiarity with Azure/AWS

Business-fluent English

Tools

NumPy

pandas

Pyomo

scikit-learn

FastAPI

Docker

Jobbeschreibung

Project Details

• Start : Immediate / flexible within the next weeks
• Duration : 6 months+ (extension very likely)
• Location : Remote within Germany
• Rate : €100–125 per hour

About the Project

We’re working with a leading energy & tech client on high-impact optimisation and forecasting projects. This is a chance to join a highly skilled team tackling complex challenges around renewable integration, asset optimisation, and large-scale data systems.

The Role

We’re looking for a freelance data scientist / mathematical optimisation specialist who can work independently and deliver production-ready solutions. You’ll be embedded in a project team with direct impact on trading, investment, and operational strategies.

What You’ll Do

• Build and improve mathematical optimisation models (portfolio, storage, trading strategies)
• Enhance forecasting frameworks for short- and mid-term horizons
• Engineer data pipelines and APIs, ensuring robustness and reproducibility
• Transition legacy code into scalable, modern Python solutions
• Work across the full stack : databases, cloud platforms, CI / CD, containerisation
• Deliver clear, business-focused insights and documentation

What We’re Looking For

• Strong background in energy sector / trading / data science
• Expert-level Python skills (NumPy, pandas, Pyomo, scikit-learn, FastAPI, etc.)
• Proven freelance / consulting experience with energy, trading, or logistics clients
• Familiarity with Azure / AWS, SQL / GraphQL, Docker, CI / CD
• Able to challenge assumptions and translate technical insights into business value
• Business-fluent English (German a plus, but not required)