Role overview
We are seeking a motivated Junior Data Scientist to join our Grid & Energy Analytics team a short‑term assignment. This role is ideal for graduate students currently studying data science, computer science, engineering, or applied mathematics, who are excited about applying AI techniques to real‑world energy systems.
During this internship, the candidate will work closely with senior data scientists and the wholesale market applications team to build and fine‑tune energy AI agents, contribute to forecasting and optimization models, deploy AI models into production‑grade systems, and gain hands‑on exposure to state‑of‑the‑art research in energy optimization and agentic AI.
What you'll work on
- How real‑world energy AI agents are built and deployed.
- How production‑grade forecasting models are tested, scaled, and monitored.
- How the electricity grid, energy markets, and renewable assets interact.
- Best practices in software engineering, MLOps, and data science workflows.
- Exposure to cutting‑edge AI and optimization research used inside a global renewable energy company.
What we're looking for
- Familiarity with energy systems, renewable energy, or electricity markets.
- Exposure to deep learning tools (PyTorch, TensorFlow) or time‑series packages (nixtla).
- Experience with AI agents, reinforcement learning, or RAG pipelines.
- Previous internship or project experience with ML or MLOps tools.
Tags & focus areas
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