Job description
Role overview
The energy transition requires innovative data-driven solutions to tackle complex technical and societal challenges like grid congestion and digitalization. As a Data Science Consultant, you'll advise stakeholders, develop analytical models, and implement AI/ML solutions to advance electricity grid optimization and smart energy systems.
This role involves collaborating with cross-functional teams to design scalable solutions, interpret regulatory requirements, and translate business needs into technical specifications. You'll work directly with energy providers, policymakers, and technology partners to deliver impactful results.
Responsibilities
- Design and implement data-driven solutions for energy grid optimization
- Advise stakeholders on technical feasibility and data strategy
- Develop predictive models for grid congestion analysis
Requirements
- 2-4 years in data science with energy sector experience
- Strong Python and statistical analysis skills
- Experience with machine learning frameworks (TensorFlow/PyTorch)
Benefits
- Work on high-impact energy transition projects
- Collaborative environment with industry experts
Keywords
data scienceenergy transitionPythonmachine learninggrid optimizationstakeholder managementpredictive analyticsAIdata modelingregulatory compliance