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About the Role

This role involves analyzing and consolidating network data to inform portfolio decisions, monitoring regulatory developments, and developing ML-driven forecasts for grid bottlenecks and redispatch risks. You will build and maintain datasets for grid connection assessments, ensure model quality through testing, and derive probability-of-success logics. The position also includes reporting complex analyses for management, managing interfaces with development and acquisition teams, and utilizing AI tools for efficiency.

Responsibilities

Analyze and consolidate network data (TSO/DSO, BNetzA, NEP) as a basis for sound portfolio decisions.
Monitor regulatory developments and derive concrete impacts on projects.
Develop and advance ML-based forecasts for grid bottlenecks and redispatch risks.
Build and maintain structured datasets for evaluating grid connection situations.
Ensure model quality through testing and continuous optimization.
Derive probability-of-success logics and identify risk regions.
Prepare complex analyses for management and investment decisions.
Collaborate closely with development, acquisition, and due diligence teams.
Utilize AI tools to increase efficiency and automate analysis and calculation processes.

Requirements

Completed degree in Data Science, Engineering, Business Administration, Electrical Engineering, or comparable.
Several years of experience in data-driven analysis or modeling roles, ideally in the energy sector.
Very good Python skills and experience with machine learning frameworks.
Experience handling large and complex datasets.
Understanding of grid infrastructure, redispatch, and regulatory frameworks in Germany.
Experience with GIS or spatial analysis is an advantage.
Ability to present complex content clearly and appropriately for the audience.
Experience with AI-supported coding and analysis tools for grid calculation workflows (e.g., load flow analyses, Python scripting) is a clear advantage.
Structured, independent, and solution-oriented way of working.
Very good German and English language skills.

Skills

Data Analysis
Market Intelligence
Modeling
Data Integration
Validation
Portfolio Management
Reporting
Interface Management
Automation
Python
Machine Learning
Large Datasets
Grid Infrastructure
Redispatch
Regulatory Frameworks
GIS
Spatial Analysis
AI Tools

Location

Berlin
Hamburg
Wiesbaden
Cologne
Stuttgart
Trier

Work Type

Full-time
Hybrid

Experience Level

Multiple years of experience

Education Level

Degree in Data Science, Engineering, Business Administration, Electrical Engineering, or comparable

Benefits

Attractive remuneration
Bonus component
30 days of vacation
Individual further training and development opportunities
Career opportunities in a growing company
Monthly lunch vouchers
Discounted membership in Urban Sports Club
Childcare subsidy for all employees
Financial support for relocation
Access to private pension plan with subsidy
Flexible working hours
Mobile working

About the Company

Powering Change.
Setting standards in the renewable energy sector for over 16 years.
Combining agility with the experience of a renowned investment company.
Revolutionizing project development.
Pragmatic, financially strong, and passionate about bringing projects to success.
Qualitas Energy Deutschland GmbH has over 250 employees at locations in Berlin, Hamburg, Wiesbaden, Cologne, Stuttgart, and Trier, focusing on the expansion of wind energy.
Part of the Qualitas Energy Group with over 600 employees in offices in Madrid, Milan, London, Warsaw, and Santiago de Chile.
Operates and develops projects worldwide in wind power, photovoltaics, concentrated solar power (CSP), battery storage, and hydropower.
Seeking thinkers and doers who contribute their ideas and commitment and share high self-motivation.
Flat hierarchies, open doors, great colleagues, and team spirit.