Lead Data Scientist - Energy Analytics - Remote

About the Role

Our client is seeking an accomplished Lead Data Scientist specializing in Energy Analytics to join their innovative team on a fully remote basis. In this high-impact role, you will leverage vast datasets to uncover insights, develop predictive models, and drive data-informed strategies for the energy sector. You will lead a talented team of data scientists, guiding them on complex analytical challenges and fostering a culture of data excellence. This is a unique opportunity for a visionary leader passionate about using data to transform the energy landscape, working from anywhere in the UK with a fully remote setup and contributing to critical industry advancements.

Key Responsibilities

• Lead the development and deployment of advanced machine learning models for energy forecasting, demand prediction, and anomaly detection.
• Extract, clean, and transform large, complex datasets from various energy sources (e.g., smart meters, grid sensors, market data).
• Design and implement robust data pipelines and analytics infrastructure to support data-driven decision-making across the organisation.
• Mentor and guide junior data scientists, providing technical leadership and fostering best practices in statistical modelling and data analysis.
• Collaborate with domain experts, engineers, and product managers to identify business opportunities and translate them into analytical solutions.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.

Requirements

• PhD or Master's degree in Data Science, Statistics, Computer Science, Physics, or a quantitative field.
• Extensive experience (7+ years) as a Data Scientist, with a proven track record of leading analytical projects, preferably in the energy sector .
• Deep expertise in statistical modelling , machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent leadership, communication, and problem-solving skills, with the ability to work autonomously in a remote setting.

Benefits

• Highly attractive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance plans.
• Generous professional development budget for training, conferences, and certifications.
• Company-provided equipment and home office setup allowance.
• Opportunity to shape the future of the energy industry through data innovation.
• Flexible working hours and a supportive remote work culture.