Remote Senior Data Scientist - Energy Analytics

About the Role

Our client is seeking a highly experienced and innovative Senior Data Scientist to join their fully remote team, focusing on advanced analytics within the energy sector . This role is instrumental in leveraging vast datasets to uncover insights, predict trends, and develop sophisticated models that drive efficiency and strategic decision-making. You will lead complex data science projects, mentor junior team members, and collaborate with stakeholders across the organization to translate data-driven findings into tangible business value. This is a premier opportunity for a skilled professional to impact the future of energy through data science from anywhere in the UK.

Key Responsibilities

• Design, develop, and implement advanced statistical models and machine learning algorithms for energy consumption forecasting, demand prediction, and anomaly detection.
• Extract, clean, and transform large, complex datasets from diverse sources within the energy domain.
• Lead end-to-end data science projects, from problem definition and data exploration to model deployment and performance monitoring.
• Mentor and guide junior data scientists, fostering a collaborative and knowledge-sharing environment.
• Communicate complex findings and recommendations clearly to technical and non-technical stakeholders through compelling visualizations and presentations.
• Collaborate with IT and engineering teams to ensure data infrastructure supports advanced analytics needs and to deploy models into production environments.

Requirements

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• Minimum of 7 years of professional experience in data science , with a significant focus on the energy industry .
• Expertise in programming languages such as Python or R, and proficiency with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Proven ability to translate complex business problems into data science solutions and deliver impactful results.

Benefits

• Highly competitive salary and comprehensive performance-based bonus.
• Fully remote working arrangement, offering unparalleled work-life balance and autonomy.
• Top-tier health, dental, and vision insurance plans.
• Generous retirement savings plan with substantial employer matching.
• Opportunity to lead innovation and shape data-driven strategies in the critical energy analytics field.