Senior Data Scientist (Renewable Trading Systems) @ SAMAWATT Remote

Senior Data Scientist (Renewable Trading Systems) @ SAMAWATT

Remote

• More than 12 years of professional experience in analytics and ML, including 5+ years within energy, trading, or finance.
  
  
• PhD or Master’s degree in Data Science, Applied Mathematics, Physics, Econometrics, or a related discipline.
  
  
• Demonstrated track record of delivering data science solutions that produced measurable business value.
  
  
• Strong background in regression, ensemble methods, and time-series forecasting, with hands-on experience using Scikit-learn, XGBoost, TensorFlow, and PyTorch.
  
  
• In-depth knowledge of stochastic methods and quantitative optimization in uncertain environments.
  
  
• Knowledge of cloud platforms (GCP preferred), Kubernetes, Terraform, and CI/CD practices.
  
  
• Strong coding abilities in Python and experience with end-to-end ML pipelines.
  
  
• Able to transform complex analyses into clear business insights, fueled by a strong commitment to renewable energy and deep interest in electricity markets and trading.

We are seeking a Senior Data Scientist who will take ownership of forecasting and trading models at the core of our short-term trading strategies. You will develop high-performance algorithms for energy markets, balancing accuracy and speed to generate significant commercial impact.

You will work at the intersection of energy, AI, and trading, where precision and speed are critical. This is a high-impact position, suited for someone who thrives on translating complex datasets into actionable insights that drive multimillion-euro trading decisions.

• A chance to contribute directly to the European energy transition.
  
  
• Access to diverse, large-scale datasets spanning market, operational, and trading sources.
  
  
• Influence the design and direction of advanced trading models.
  
  
• Thrive in a dynamic environment that values creativity and teamwork.
  
  
• Benefit from flexible, fully remote work arrangements with international reach.
  
  
• Access opportunities for continuous learning and professional growth through cutting-edge projects.

,[Design advanced ML models to forecast electricity supply, consumption, and market prices., Define and monitor KPIs that link model performance to trading outcomes., Partner with engineers to bring scalable solutions into production environments., Develop optimization strategies for short-term and intraday trading under uncertainty., Maintain and improve predictive pipelines for speed and reliability., Explore emerging AI technologies to support innovation and competitiveness., Shape the strategic direction of our analytics and trading roadmap.] Requirements: Python, Scikit-learn, XGBoost, TensorFlow,, PyTorch, stochastic methods , quantitative optimization, cloud platforms, Kubernetes, Terraform, and CI/CD, GCP Additionally: Flat structure, Small teams, International projects.

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data

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