Data Scientist - Energy Analytics

About the Role

Our client is looking for a highly skilled Data Scientist with a specialization in Energy Analytics to join their innovative team, remotely based but serving operations near Bradford . This role is central to leveraging data to drive efficiency, predict energy trends, and optimize resource allocation for the company's extensive energy portfolio. You will apply advanced statistical and machine learning techniques to complex datasets, providing critical insights that inform strategic decision-making and improve operational performance. Join a forward-thinking company that values data-driven insights and offers a collaborative environment for professional growth, working on impactful projects within the vital energy sector.

Key Responsibilities

• Develop and deploy machine learning models for forecasting energy demand, consumption, and pricing.
• Analyze large, complex datasets related to energy generation, distribution, and consumption patterns.
• Design and implement A/B testing frameworks to evaluate the effectiveness of new energy strategies.
• Collaborate with engineers and domain experts to identify key business challenges and opportunities for data-driven solutions.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical stakeholders.
• Contribute to the development of data pipelines and analytics infrastructure.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• Proven experience as a Data Scientist with a strong portfolio of analytical projects.
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, and SQL.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable.
• Excellent communication and presentation skills.

Benefits

• Highly competitive salary and annual performance bonus.
• Fully remote working arrangement.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme.
• Access to continuous learning and development resources, including conferences and training.