Simon Barnasch
Ai Use Case Lead Product Owner Energy Trading & Optimization @Vattenfall
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WORK HISTORY
Ai Use Case Lead Product Owner Energy Trading & Optimization @Vattenfall
Hamburg, DE
Leading a cross-functional Data Science team of 8, focused on delivering business value through applied machine learning- Driving product development and strategic prioritization of AI/ML use cases in energy trading- Deployed production-grade AI solutions, including proprietary trading algorithms generating multi million annual PnL (Sharpe ratio > 6)- Building and managing a portfolio of AI products across forecasting, optimization, and algorithmic trading- Ensuring strategic alignment with stakeholders across asset trading, intraday markets, and market operations- Bridging deep technical expertise (MLOps, scalable ML architecture) with business outcomes and measurable impactOn a mission to continue scale AI in energy trading through measurable, high-impact use cases.
EDUCATION
Hamburg University of Technology
Bachelor of Science (B.Sc.), Mechanical engineering
Hamburg University of Technology
Master of Science (M.Sc.), Energy Engineering
ABOUT SIMON BARNASCH
I’m passionate about building AI/ML products that don’t just work in theory, but deliver measurable impact in the real world.As Product Owner for AI Use Cases in Energy Trading at Vattenfall, I combine technical depth with business strategy to turn data into high-accuracy forecasts, profitable trading strategies, and smarter operations. By applying AI at scale, I aim to create business value while working for fossil freedom.I lead a talented data science team, own the product roadmap, and collaborate closely with stakeholders across trading, assets, and operations to make AI adoption both impactful and sustainable.Previously the tech lead of the team, I’m now shaping the next phase of AI products at Vattenfall and working to extend AI leadership across domains in ways that drive accelerating the energy transition.
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