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Jobs in Mannheim, Germany

Senior Data Scientist

THRYVE

Frankfurt
Remote
EUR 80,000 - 100,000
Yesterday
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Solicitor (m / w / d) für britisches Bau- und Architektenrecht für Freelance Projekt

Vario Legal GmbH

Essen
Remote
EUR 50,000 - 80,000
Yesterday
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Meldewesenspezialist & Business Analyst (w/m/d)

BBHT Beratungsgesellschaft mbH & Co. KG

Germany
Remote
Confidential
Yesterday
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Media Search Analyst German Speaker

TELUS Digital

Herne
Remote
EUR 40,000 - 60,000
Yesterday
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Senior Data Scientist

THRYVE

Düsseldorf
Remote
EUR 100,000 - 125,000
Yesterday
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Neuanfang in der IT-Sicherheit- Starte als IT-Systemadministrator (m / w / d) – auch für Querei[...]

CloudCommand GmbH

Bünde
Remote
EUR 40,000 - 60,000
Yesterday
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Cybersecurity Co-Founder / Head of Engineering (100 % remote) (m / f / d)

EWOR GmbH

Wuppertal
Remote
EUR 500,000 - 2,000,000
Yesterday
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[Hiring] Software Engineer @Litify

Litify

Germany
Remote
EUR 60,000 - 80,000
Yesterday
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(Remote) Kursleiter / Lehrkraft im Bereich Vertrieb (m/w/d)

Hochberg Institut

Halle (Saale)
Remote
EUR 40,000 - 60,000
Yesterday
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Account Manager (m / w / d) Cyber Security remote

Franklin Fitch Limited

Wiesbaden
Remote
EUR 100,000 - 130,000
Yesterday
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Property Manager (IHK) (m/w/d) – 100% remote & Quereinsteiger willkommen!

DELA Akademie

Tübingen
Remote
EUR 40,000 - 60,000
Yesterday
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Clinical Project Manager - Dermatology

Advanced Resource Managers

Dortmund
Remote
EUR 80,000 - 100,000
Yesterday
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DevOps Engineer (m / w / d)

Allgeier Public SE

Wuppertal
Remote
EUR 55,000 - 75,000
Yesterday
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Finanzbuchhalter (m/w/d) - hybrides Arbeiten (Remote & Präsenz)

DIS Deutscher Industrie Service AG

Forchheim
Remote
EUR 50,000 - 65,000
Yesterday
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BESS Project Development Manager

Spencer Ogden

Usingen
Remote
EUR 40,000 - 60,000
Yesterday
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Global Supplier Quality Engineer - Systems and Innovation

Danaher - Global

München
Remote
EUR 80,000 - 100,000
Yesterday
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AI-Powered Social Media Strategist (m / w / d)

MoM Institut

Konstanz
Remote
EUR 40,000 - 60,000
Yesterday
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Performance Marketing Specialist (m / w / d) – Fokus auf datengetriebenes Marketing & AI-Tools

MoM Institut

Paderborn
Remote
EUR 35,000 - 50,000
Yesterday
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Senior Clinical Project Manager - Dermatology

Advanced Resource Managers

Dortmund
Remote
EUR 90,000 - 110,000
Yesterday
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PhD Peer Reviewer needed : Professor of MANAGEMENT

Fengkai Group Co., Limited

Frankfurt
Remote
EUR 40,000 - 60,000
Yesterday
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Senior SAP Analytics Consultant (m / w / d)

KPS AG

Leipzig
Remote
EUR 60,000 - 90,000
Yesterday
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Bürokaufmann (m/w/d) - hybrides Arbeiten (Remote & Präsenz)

DIS Deutscher Industrie Service AG

Kassel
Remote
EUR 35,000 - 45,000
Yesterday
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[Hiring] Strong Middle/Senior DevOps Engineer @Sigma Software

Sigma Software

Germany
Remote
EUR 70,000 - 90,000
Yesterday
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[Hiring] Full-Stack Developer @Valsoft Corporation Inc.

Valsoft Corporation Inc.

Germany
Remote
EUR 60,000 - 80,000
Yesterday
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Genehmigungsmanager (m / w / d)

ATLAS TITAN Ost GmbH, Standort Braunschweig

Braunschweig
Remote
EUR 82,000 - 95,000
Yesterday
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Senior Data Scientist
THRYVE
Frankfurt
Remote
EUR 80.000 - 100.000
Part time
Yesterday
Be an early applicant

Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

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
Job description
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)
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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