Energy Data Scientist

About the Role

Our client is looking for an innovative Energy Data Scientist to join their hybrid team in Wolverhampton . This role is crucial for deriving actionable insights from vast datasets related to energy production, consumption, and market trends. You will leverage advanced statistical and machine learning techniques to develop predictive models, optimize energy systems, and support strategic decision-making. This is an exciting opportunity for a talented data scientist to apply their skills to the complex and vital field of the energy industry, contributing to efficiency and sustainability efforts.

Key Responsibilities

• Collect, clean, and process large, complex datasets from various energy sources.
• Develop and implement machine learning models for forecasting energy demand, supply, and pricing.
• Design and conduct advanced statistical analyses to identify patterns and trends in energy consumption.
• Create data visualizations and dashboards to communicate complex findings to technical and non-technical stakeholders.
• Collaborate with engineering and operations teams to identify opportunities for data-driven improvements in energy systems.
• Stay current with the latest advancements in data science, artificial intelligence, and their applications within the energy sector .

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist, with a focus on energy-related data.
• Strong proficiency in programming languages such as Python or R, and SQL.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving abilities and communication skills for working in a hybrid environment in Wolverhampton .

Benefits

• Highly competitive salary with annual bonus potential.
• Flexible hybrid working model combining office and remote work.
• Comprehensive health, dental, and vision insurance.
• Generous pension contribution and life assurance.
• Opportunities for continuous learning, conference attendance, and advanced training in energy data science .